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Dascena Announces Publication of Results From Its Machine Learning Algorithm for Prediction of Acute Kidney Injury in Kidney International Reports -…

OAKLAND, Calif.--(BUSINESS WIRE)-- Dascena, Inc., a machine learning diagnostic algorithm company that is targeting early disease intervention to improve patient care outcomes, today announced the publication in Kidney International Reports of results from a study evaluating the companys machine learning algorithm, PreviseTM, for the earlier prediction of acute kidney injury (AKI). Findings showed that Previse was able to predict the onset of AKI sooner than the standard hospital systems, XGBoost AKI prediction model and the Sequential Organ Failure Assessment (SOFA), up to 48 hours in advance of onset. Previse has previously received Breakthrough Device designation from the U.S. Food and Drug Administration (FDA).

AKI is a severe and complex condition that presents in many hospitalized patients, yet it is often diagnosed too late, resulting in significant kidney injury with no effective treatments to reverse damage and restore kidney function, said David Ledbetter, chief clinical officer of Dascena. If we are able to predict AKI onset earlier, physicians may be able to intervene sooner, reducing the damaging effects. These findings with Previse are exciting and further demonstrate the role we believe machine learning algorithms can play in disease prediction. Further, with Breakthrough Device designation from the FDA, we hope to continue to efficiently advance Previse through clinical studies so that we may be able to positively impact as many patients as possible through earlier detection.

The study was conducted to evaluate the ability of Previse to predict for Stage 2 or 3 AKI, as defined by KDIGO guidelines, compared to XGBoost and SOFA. Using convolutional neural networks (CNN) and patient Electronic Health Record (EHR) data, 12,347 patient encounters were analyzed, and measurements included Area Under the Receiver Operating Characteristic (AUROC) curve, positive predictive value (PPV), and a battery of additional performance metrics for advanced prediction of AKI onset. Findings from the study demonstrated that on a hold-out test set, the algorithm attained an AUROC of 0.86, compared to 0.65 and 0.70 for XGBoost and SOFA, respectively, and PPV of 0.24, relative to a cohort AKI prevalence of 7.62%, for long-horizon AKI prediction at a 48-hour window prior to onset.

About Previse

Previse is an algorithm that continuously monitors hospitalized patients and can predict acute kidney injury more than a full day before patients meet the clinical criteria for diagnosis, providing clinicians with ample time to intervene and prevent long-term injury.

About Dascena

Dascena is developing machine learning diagnostic algorithms to enable early disease intervention and improve care outcomes for patients. For more information, visit dascena.com

View source version on businesswire.com: https://www.businesswire.com/news/home/20210316005151/en/

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Machine learning calculates affinities of drug candidates and targets – Drug Target Review

A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.

A new technology combining chemistry and machine learning could aid researchers during the drug discovery and screening process, according to scientists at MIT, US.

The new technique, called DeepBAR, quickly calculates the binding affinities between drug candidates and their targets. The approach yields precise calculations in a fraction of the time compared to previous methods. The researchers say DeepBAR could one day quicken the pace of drug discovery and protein engineering.

Our method is orders of magnitude faster than before, meaning we can have drug discovery that is both efficient and reliable, said Professor Bin Zhang, co-author of the studys paper.The affinity between a drug molecule and a target protein is measured by a quantity called the binding free energy the smaller the number, the better the bind.A lower binding free energy means the drug can better compete against other molecules, meaning it can more effectively disrupt the proteins normal function.

Calculating the binding free energy of a drug candidate provides an indicator of a drugs potential effectiveness. However, it is a difficult quantity to discover.Methods for computing binding free energy fall into two broad categories:

The researchers devised an approach to get the best of both worlds. DeepBAR computes binding free energy exactly, but requires just a fraction of the calculations demanded by previous methods.

The BAR in DeepBAR stands for Bennett acceptance ratio, a decades-old algorithm used in exact calculations of binding free energy. Using the Bennet acceptance ratio typically requires a knowledge of two endpoint states, eg, a drug molecule bound to a protein and a drug molecule completely dissociated from a protein, plus knowledge of many intermediate states, eg, varying levels of partial binding, all of which slow down calculation speed.

DeepBAR reduces in-between states by deploying the Bennett acceptance ratio in machine learning frameworks called deep generative models.

These models create a reference state for each endpoint, the bound state and the unbound state, said Zhang. These two reference states are similar enough that the Bennett acceptance ratio can be used directly, without all the costly intermediate steps.

It is basically the same model that people use to do computer image synthesis, says Zhang. We are sort of treating each molecular structure as an image, which the model can learn. So, this project is building on the effort of the machine learning community.

These models were originally developed for two-dimensional (2D) images, said lead author of the study Xinqiang Ding. But here we have proteins and molecules it is really a three-dimensional (3D) structure. So, adapting those methods in our case was the biggest technical challenge we had to overcome.

In tests using small protein-like molecules, DeepBAR calculated binding free energy nearly 50 times faster than previous methods. The researchers add that, in addition to drug screening, DeepBAR could aid protein design and engineering, since the method could be used to model interactions between multiple proteins.

In the future, the researchers plan to improve DeepBARs ability to run calculations for large proteins, a task made feasible by recent advances in computer science.

This research is an example of combining traditional computational chemistry methods, developed over decades, with the latest developments in machine learning, said Ding. So, we achieved something that would have been impossible before now.

The research is published in Journal of Physical Chemistry Letters.

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Machine learning calculates affinities of drug candidates and targets - Drug Target Review

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The Internet of Things Is Everywhere. Are You Secure? – Security Boulevard

From smart homes that enable you to control your thermostat from a distance to sensors on oil rigs that help predict maintenance to autonomous vehicles to GPS sensors implanted in the horns of endangered black rhinos, the internet of things is all around you. The internet of things (IoT) describes the network of interconnected devices embedded with sensors, software, or other technology that exchange data with other devices and systems over the Internet.

According to Gartner research, 35 billion devices will be connected to the internet in 2021, and that number will more than double in the next few years to reach 75 billion connected devices by 2025. This means that currently there are three IoT devices for every one human on the planet. Whether these devices are smart (they have the ability to compute) or dumb (they report data to a centralized location with little or no processing power), this market is experiencing phenomenal growth.

With the increase in connected devices comes an increase in IoT attacks. In 2019 alone, attacks on IoT devices increased by 300%.

In the DZone Edge Computing and IoT report published in 2020, developers were asked to rank the top 15 most pressing technical challenges of IoT. Security came in as the number-one most challenging issue facing this market today, beating out unpredictable physical environment, network bandwidth availability, latency, and device unreliability by a wide margin.

Source: DZones Edge Computing and IoT, 2020

When you consider that IoT devices are controlling autonomous vehicles, drug pumps, manufacturing operations, and even the camera on your virtual assistant, you begin to realize security is important. Its more than someone hacking into your smart light bulbs and turning on all the lights in your home. Security for IoT means your municipal water source or an implantable cardiac device or, in the case of the Mirai botnet attack, vast swathes of the internet.

Why do developers say security is their biggest IoT challenge? The threat landscape for IoT is extremely broad and complex, and it involves both physical device security and network security. Furthermore, to fully secure IoT devices, you need to address both hardware and software.

Network security is a challenge because the proliferation of devices each with their own IP address means you cant slap up a perimeter firewall to block all suspicious or unknown web traffic. Some best practices to secure IoT at the network level include map and monitor all connected devices, use network segmentation to prevent the spread of attacks, ensure your network architecture is secure, and disable any features or services that you arent using.

Device security brings its own difficulties. First, with billions of connected devices, there is a vast range of hardware. As a result, no one-size-fits-all approach will work. Despite the heterogeneity, some best practices include discovering the devices on your network for complete visibility and then actively monitoring these devices. After all, you can not secure a device if you dont know it exists. Staying current with firmware patches and updates is also key to enabling robust security.

Because we refer to IoT as connected devices, we tend to think of this technology in terms of hardware watches, appliances, sensors, monitors but dont forget that each of these devices contains an application layer that also needs to be secured.

The application layer is the most attacked in the enterprise stack. For IoT, application security is even more important because application layer protocols form the foundation of communication between different IoT devices and an organizations cloud or edge infrastructures.

Reducing Enterprise Application Security Risks: More Work Needs to Be Done Download FreeReport

Both secure coding and application security testing best practices need to be applied to the development of the application on every IoT device. In addition, IoT applications should be exposed to the same rigorous testing as any other application. Security scanning tools such as static application security testing (SAST) and software composition analysis (SCA) should be the standard.

Greater than 90% of developers rely heavily on open source components when creating IoT applications. This should come as no surprise as a wide range of open source tools, components, platforms, and frameworks are available for every niche area of IoT technology. Linux is the top operating system for IoT devices, and 93% of databases used in IoT applications are open source.

Because of the widespread use of open source in IoT, special attention must be paid to open source security, both when developing an IoT application and when IoT devices are in production. Open source vulnerabilities are published and publicly available for anyone to see including hackers. If youre not scanning the open source in your applications and monitoring it in production, then youre not securing your IoT devices.

For IoT devices, C and C++ are the predominant programming languages. C is particularly attractive for IoT devices such as sensors that detect temperature or humidity, because simple microcontrollers dont have operating systems and C can work directly with RAM. For devices performing slightly more complex tasks that still require a small footprint, like turning on smart lights in your home, C++ is an attractive alternative.

When looking for a software composition analysis solution to scan your IoT application, remember that not all SCA solutions can scan programming languages that lack package managers like C and C++ do. When searching for a solution to scan the open source code for your IoT application, make sure you choose one that is able to scan source code and supports all required languages.

Now that weve highlighted some of the main concerns for IoT security, here are some best practices you can put in place now to ensure your devices are as secure as possible:

Basic security hygiene: Its been said a thousand times, but it still holds up: change those passwords! Practicing basic security hygiene should be rote by now. Default passwords are bad, and you should be using strong, unique passwords. Disable those features youre not using. Implement identity management best practices through authentication and authorization methods. Its basic but it works.

Discovery: It is important to understand what devices are on your network. If you dont have a comprehensive inventory of the components in your IoT environments you wont be able to apply patches and remediate vulnerabilities.

End-to-end protection: Secure your physical infrastructure both your network and devices but also dont forget about software vulnerabilities. Remember that open source code plays a big role here, so stay on top of those vulnerabilities by scanning and monitoring these components often, particularly as new vulnerabilities are disclosed.

Policy and segmentation: Dont allow malicious actors to exploit holes in your organizational security by jumping from device to device. You should automate security policies that define acceptable communication, blocking anything that is out of policy. For example, a point-of-sale terminal might be allowed to send inventory data to a particular database, but not communicate with other devices.

Monitoring and threat prevention: Monitor your IoT devices to learn how they connect and act within your network so you can identify unusual behavior and detect any anomalies.

A holistic view approach to IoT security will help you navigate the potential pitfalls around complex hardware and software security issues.

Everyone agrees that when it comes to any technology, more security is better than less security. IoT is no different. To that end, both California and Oregon have recently enacted legislation governing the security of connected devices and the Internet of Things and users privacy. It is believed that the US federal government isnt far behind.

IoT technologies are becoming more prevalent in all industries and more integrated into our personal lives. They offer tremendous advancements that improve our health and wellbeing and offer significant convenience in our daily living. These advantages must be weighed against the security and privacy issues endemic to connected IoT devices. The IoT threat landscape is extremely wide, complex, and not always properly managed. The machines are here to stay. Wouldnt we all be happier if they were also more secure?

*** This is a Security Bloggers Network syndicated blog from Blog WhiteSource authored by Julie Peterson. Read the original post at: https://resources.whitesourcesoftware.com/blog-whitesource/iot-security

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Cyber security gets recognized The Merciad – The Merciad

Intelligent.com, a free and privately-supported website which brings forth unbiased, accurate and fact-based information on a wide range of issues for its viewers has named Mercyhurst as having one of the best cyber security programs in the nation. The 2021 rankings on Best Masters in Internet Security analyzed 160 schools with only 50 making the final list, including Mercyhurst University.

This program has been growing in recent years, launching an undergrad program in 2019 that has grown from 63 to 138 students since its beginning. The Cyber Security masters program here at Mercyhurst is seen as one of the best in the nation due to the way that the classes are formatted.

This is a one-of-a-kind program where students coming in are not expected to have an extensive background in Computer Science and can learn all the concepts from introductory ones to advanced ones within two years, said professor and co-developer of the Masters program, Christopher Mansour, Ph.D. It is special because the faculty in this program also dedicate a lot of attention to student learning and experience.

The fact that the professors who are involved with this program devote much of their time to their students is very important. They want to see them succeed and that should say something about Mercyhurst and the program itself.

For graduate students currently enrolled, this program is opening up many opportunities for them. For instance, this degree allows the possibility of being promoted in a job or ability to switch their career if they see fit.

The Cyber Security program also may help a student pair their current line of study with the cyber security field.

Cyber security is needed and applicable in a lot of industries, said Mansour. Mercyhurst is seeing record enrollments in the major. Additionally, this program here at Mercyhurst allows students to become part of one of the fastest growing employment sectors. The unemployment rate in the field of cyber security is zero percent and there is a huge demand for people in this field. Jobs pay really well, sometimes starting with six figures, Mansour said.

This actively demonstrates the importance of the field and the opportunities provided for students currently in the program. Having a zero percent unemployment rate in the field guarantees the graduate students a job after graduation.

According to Mansour, the cyber security program is one of the greatest programs that Mercyhurst currently offers.

[The program] follow[s] the mission of the Sisters in preparing students to be well-knowledgeable and equipped with the necessary skill set needed to protect the personal information of people in our society, companies in our society and our nation from bad actors, said Mansour.

The nations future prosperity depends on a workforce trained in the latest tools and skills in cybersecurity. More information can be found on the departments web page on the Mercyhurst site.

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Cyber security gets recognized The Merciad - The Merciad

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International Policy Review Puts Cyber at the centre of the UK’s Security – GOV.UK

Our ability to detect, disrupt and deter our adversaries while taking advantage of the revolution in the use of smart and cyber technology will be dramatically enhanced by commitments in the Integrated Review of security, defence, development and foreign policy, to be published this week.

The review will set out the importance of cyber technology to our way of life whether its defeating our enemies on the battlefield, making the internet a safer place or developing cutting-edge tech to improve peoples lives.

Cyber Security is the foundation of our cyber power and the UK has been at the cutting edge of the use of intelligence to disrupt threats online and defend against attacks. We established the National Cyber Security Centre in 2016 to help critical organisations, businesses and the general public protect themselves.

In recent years our adversaries have invested in their own capabilities and are constantly finding new ways to exploit our weaknesses and gain advantage in cyberspace. To cement our competitive edge and keep ahead of our enemies a full spectrum approach is therefore needed.

The Integrated Review will announce a new cyber strategy to create a cyber ecosystem fit for the future, with more investment in education, partnerships with industry and integration across our defence and intelligence services.

The Prime Minister said:

Cyber power is revolutionising the way we live our lives and fight our wars, just as air power did 100 years ago. We need to build up our cyber capability so we can grasp the opportunities it presents while ensuring those who seek to use its powers to attack us and our way of life are thwarted at every turn.

Our new, full-spectrum approach to cyber will transform our ability to protect our people, promote our interests around the world and make the lives of British people better every day.

The Prime Minister will announce this week that the home of the new National Cyber Force and the nexus of this strategy will be in the North of England, establishing a cyber corridor across the region.

Opening the HQ of the NCF in the North of England will drive growth in the tech, digital and defence sectors outside of London and help create new partnerships between government, the sector and universities in the region, placing it in the international centre of cutting-edge developments to keep our people safe.

Defence currently sustains more than 35,000 jobs in the North West of England alone. Digital and cyber jobs will build on the regions history of being on the cutting edge of defence technology 10,000 people are employed in maritime design in Barrow and 12,000 people work in advanced aerospace engineering and manufacturing at Samlesbury Aerospace Enterprise Zone, where the UK is producing the fifth generation F-35 stealth aircraft.

The North of England is already home to a GCHQ office in Manchester, which is and is Europes fastest growing major tech cluster, with more than 15% of Manchesters population employed by the digital, creative and technology sector.

The National Cyber Force was created last year to transform the UKs capacity to conduct targeted offensive cyber operations against terrorists, hostile states and criminal gangs. It draws together personnel from both defence and the intelligence agencies under one unified command for the first time.

The kinds of operations the NCF is able to carry out include:

Recognising the importance of cyber to defence, in addition to the NCF last year the MoD created the 13th Signals Regiment, the first dedicated cyber regiment, and expanded the Defence Cyber School. These enhanced cyber capabilities bolster our defence and will play a vital part in operations including HMS Queen Elizabeths first global deployment this year. MoD cyber experts comprise almost half of the NCFs cyber operators.

In addition to national security and defence applications, cyber technology can also be used to improve peoples lives through smart technology and helping people use the internet safely. In the last year, GCHQ has partnered with tech start-ups to help them develop and use AI to help train companies ensure more space for passengers during the COVID pandemic, alert haulage companies to stowaways in their containers and prevent the spread of misinformation online.

The Governments new cyber strategy will support companies developing dual-use and consumer technology to ensure the UK is a cyber power in every sense. It will also be critical to our ambition to establish the UK as a global services, digital and data hub.

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International Policy Review Puts Cyber at the centre of the UK's Security - GOV.UK

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Where Will Datasea Inc (DTSS) Stock Go Next After It Has Risen 3.97% in a Week? – InvestorsObserver

Datasea Inc (DTSS) stock has gained 3.97% over the past week and gets a Bearish rating from InvestorsObserver's Sentiment Indicator.

When making investment decisions, sentiment gives a good overview of what stocks investors currently favor. Sentiment incorporates short-term technical analysis into its score and does not encompass any fundamental analysis such as profitability of the company. This means that earnings updates and other news can greatly impact overall sentiment.

Price action is generally the best indicator of sentiment. For a stock to go up, investors must feel good about it. Similarly, a stock that is in a downtrend must be out of favor.

InvestorsObservers Sentiment Indicator considers price action and recent trends in volume. Increasing volumes often mean that a trend is strengthening, while decreasing volumes can signal that a reversal could come soon.

The options market is another place to get signals about sentiment. Since options allow investors to place bets on the price of a stock, we consider the ratio of calls and puts for stocks where options are available.

Datasea Inc (DTSS) stock has risen 15.93% while the S&P 500 is lower by -0.6% as of 10:24 AM on Thursday, Mar 18. DTSS has gained $0.54 from the previous closing price of $3.39 on volume of 318,613 shares. Over the past year the S&P 500 has gained 56.18% while DTSS has gained 111.29%. DTSS lost -$0.10 per share in the over the last 12 months.

To see the top 5 stocks in the Software - Infrastructure industry click here.

Datasea Inc is a development stage company engaged in the Internet security products. Its offers service and products such as Internet Security Equipment, New Media Advertising Service, Micro Marketing Service, Internet Service Provider (ISP) Connecting Service, Big Data Processing Service. Business activity of the group is functioned primarily through China.

Click Here to get the full Stock Score Report on Datasea Inc (DTSS) Stock.

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Where Will Datasea Inc (DTSS) Stock Go Next After It Has Risen 3.97% in a Week? - InvestorsObserver

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How to Find a Network Security Key in the Devices You Love – G2

Modern world functions on the pillars of wireless devices.

Theyre so common that you dont even notice them as unique. You have mobile phones, tablets, laptops, and other devices exchanging a lot of data with the internet. Theyve become a part of your daily life and an integral necessity.

When you use these devices daily, you should keep them safe from threat actors. A network security key or Wi-Fi password is one such element that helps you ensure security around your devices.

Simply put, a network security key is commonly known as the wireless network (or Wi-Fi) password. Its a digital signature that prevents unauthorized people from accessing your network and allows you to maintain a secure connection between users requesting access to the network.

It protects a network and the associated devices from unwanted access, empowering you to evadecyber attacksor information theft risks.

You can set a network security key using uppercase, lowercase, and special characters joined by a number. Make sure it doesnt contain predictable elements like your name or the name of your loved one(s), a number related to your birthdate, or any combination thats easy to guess.

Some of the common types of network security keys used for authorization in a wireless network are wired equivalent privacy and Wi-Fi protected access. Different types of network security keys have distinct security offerings, yet their primary function remains the same, i.e., regulating access to wireless networks.

Wired equivalent privacy (WEP) is a security algorithm intended to provide data confidentiality the same as traditional wired networks. It encrypts data packets using a 40-bit key combined with a 24-bit initialization vector (IV) to make an RC4 key. The 40 bit and 24 bit IV combine to create a 64-bit WEP key.

WEP is a sequence of characters between numbers 0-9 and the letters A-F. So, your WEP key can be 1A648C9FE2.

Due to the U.S. restrictions on the export of several cryptographic technologies, early WEP versions were limited to 64-bit encryption devices. When theregulating bodylifted these restrictions, 128-bit and 256-bit encryption also came into the picture. Out of these, 128-bit encryption was seen as the most common implementation in devices.

There are two methods of encryption that you can use with WEP:

The process looked secure, but in reality, anyone could decode the key by cracking the challenge-frames. To protect the network security key from potential exposure, Wi-Fi protected access superseded wired equivalent privacy and evolved as a more secure authentication method in wireless networks.

In the Wi-Fi protected access (WPA) security algorithm, the client requesting to connect to a network needs a security key to initiate communication. After verification of the key, data exchanges are carried out in an encrypted manner.

There are three versions of WPA:

The wireless protected access security certification program protects data against modification risks using the message integrity check. It supersedes the cyclic redundancy check for error detection and correction, earlier used in WEP.

It does have a message integrity check, which guards the data against viruses that can automatically modify and retransmit the packets. Thus, it replaces the cyclic redundancy check for error detection and correction used by the WEP.

You can find a network security key in different ways, depending on the type of device where youre searching for it.

A network security key is often labeled on the exterior of a router. You should look for a small sticker at the back or the bottom of the device. If its not available there, check its packaging box or the manual that came with it from the manufacturer.

On a router, the network security key would be labeled as a security key, WPA key, or passphrase. There would be a default one that came with the new device, but you need to change it to avoid unauthorized access.

Nine steps to change your network security key (network password):

When your Windows device is connected to the wireless network, you can access the saved login data to get the network security key.

For Windows 10 users, you can use the following steps to find the passphrase of your network:

If youre using a Windows 7 operating system, you can access the network security key through the following path:

Itll display the network security key youre searching for. You can also use the same key to connect other devices to the network.

When it comes to Mac, the process of finding your networks password is somewhat similar to Windows. You should know the Wi-Fi network's name, and you can instantly get the security key.

Follow these six steps to find your network security key:

Whether you have an Android or an iOS device, you can find the network security key stored on your phone in a few simple steps.

Android users with root access can use ES file explorer or Android terminal emulator, whereas users without root access can utilize Minimal ABD and Fastboot to get network security key.

Finding a network security key on your iPhone or iPad is much easier than Android, as it doesnt require root access. You can follow the steps mentioned below to access the network security key.

When you get a network security key mismatch error while trying to log into your wireless network, there is a high possibility that you're entering an incorrect password. But it's not the sole reason. There can be various other causes like wrong security mode, antivirus software, or defective wireless drivers.

To fix the error, you can use some common methods mentioned below.

Although the WPA2 security algorithm offers advanced security, you must keep the network security key safe from malicious hackers. Make sure you manage passwords effectively and protect your devices from cyber attacks.

Learn more about how you can safeguard your cybersecurity and provide seamless access to digital assets withuser provisioning software.

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Canada’s big carriers, ISPs turn thumbs down on proposed mandatory botnet-fighting regime – IT World Canada

No one likes malicious botnets, but Canadas telecom regulator has found no industry support around its suggestion that carriers and internet providers be part of a mandatory network-based malicious botnet-blocking regime.

The idea was raised by the Canadian Radio-Television and Telecommunications Commission (CRTC) to put muscle behind the fight against botnets. In January it suggested the creation of a mandatory or voluntary network-blocking framework for providers to kick off the debate. An independent body with expertise in cybersecurity might assess whether blocking a particular domain or IP address is justified.

But among the 46 written submissions made this week, the idea of a mandatory regime got thumbs down from the countrys big three telecom providers, independent internet providers, banks and an insurance company, and internet advocacy groups.

Instead, there were calls for the telecom industry to work closer on cybersecurity, perhaps with a voluntary botnet-fighting framework.

One of the few qualified supporters is the RCMP. In a letter to the CRTC, the RCMP backed the framework.

Please accept this letter as support from the RCMP National Cybercrime Coordination Unit (NC3) for the development of a framework to address botnet traffic and strengthen public safety, the letter read.

The Mounties didnt say the framework has to be mandatory.

Otherwise, the fight against more regulation is led by Bell, Rogers and Telus the main providers connecting to the internet backbone that would carry much of the burden.

All three telcos say a mandatory network-based botnet blocking regime goes beyond the CRTCs powers, wouldnt be effective and is unnecessary because providers already co-operate to reduce the impact of botnets.

Depending on which study is cited, overall botnet traffic could amount to as much as half of all internet traffic with malicious bots accounting for as much as 30 per cent of that.

Heres a sample of the submissions:

Bell: The commissions proposal for a mandatory regulated botnet blocking regime, which would introduce bureaucracy, including a third-party whose prior authority would be required as a precondition to all blocking, appears to be at odds with the existing [federal cybersecurity] framework which is meant to foster co-operation and collaboration amongst public sector and private sector stakeholders.

The current co-operative and collaborative environment, in which intelligence is shared with the appropriate industry members, is effective, flexible and nimble. The existing government/industry working groups have succeeded in identifying malicious traffic and providing insights into how to mitigate potential impacts. Group members have extensive expertise and backgrounds in cybersecurity issues.

Telus: Network blocking is a reactive approach focused on botnets that are already deployed and present on end-user devices. Government should focus on improving the security of end user devices by establishing and enforcing security standards for end-user devices and for devices eligible for government procurement. Adopting this proactive approach will have a much more significant impact on reducing botnet attacks than the network blocking proposal.

When it comes to network security practices, it is much preferred for telecom service providers to adopt voluntary best practices and continue to co-ordinate security responses across industry actors. This is the approach advocated by security industry working groups, such as the Canadian Security Telecommunications Advisory Committee (CSTAC)4 which has published a series of best practices frameworks which its members are encouraged to adopt within their own environments.

Rogers: Blocking of botnet traffic is a highly technical matter that requires in-depth security intelligence. The current proposal for a single network blocking framework is not the best approach to tackle cybercrime.

The federal governments Communications Security Establishment and its Canadian Centre for Cyber Security should take the lead on cybersecurity rather than the CRTC. The regulator should approach the CSTAC to develop a collaborative effort to dealing with these cybersecurity issues.

Government-mandated blocking should only be used as a measure of last resort.

Shaw: The commission should consider leading the formation of a new and independent body that would build a list of known botnets perhaps called the Botnet Blocking Organization (BBO). The commissions involvement should be limited to setting up the blocking framework. The BBO would rely on expert advice from internet service providers, information technology companies, and law enforcement to complete the blocking framework, and then to build and maintain the block list. The BBO would make its list available to all Canadian ISPs so that they can block their customers devices from communicating with any domain or internet protocol (IP) address on the list. This would disrupt communication between bots hosted on any of their end users devices and their C2 server, effectively neutralizing the botnet.

A joint submission by TD Bank, Royal Bank, CIBC, Bank of Montreal, Scotiabank, Desjardins and Canada Life insurance: If there is a regulatory regime, data gathered to protect against botnets should not be used to contravene of any Canadian privacy legislation, hinder legitimate and appropriate commerce, enhance targeted marketing, generate a new revenue stream for telecom service providers, or for gaining competitive advantage by hindering the ability of competitive services from reaching Canadians. The regulatory requirements must be tightly crafted to only allow the exceptions envisioned. A narrowly crafted exemption to net neutrality would avoid these concerns.

The Internet Society: We note that, as proposed, the CRTCs approach would focus only on detection and notification, which neglects other critical dimensions needed to address botnets, including education of users, detection by IPSs, notifying customers and collaboration. The proposed framework may not be agile enough to cope with the changing threat landscape posed by botnets.

The efficacy of the CRTCs proposed approach may be quite low, as it mostly addresses the symptoms of botnets in a piecemeal fashion, rather than creating resilient cybersecurity systems which can deal with evolving threats. As such, the creation of a framework focused on individual threats will not, in and of itself, address the problem: botnets will mutate in terms of their approach and servers will migrate, ultimately making users and institutions no safer in the long run. There is also the opposite risk that block lists will become overly broad and deny internet users access to legitimate content in the name of preventing botnet spread.

Independent internet provider Teksavvy: In short, network-level blocking of malicious botnet traffic as envisioned in [the CRTC proposal] would break the internet and introduce risks to the open internet without effectively addressing its intended target or enhancing the security and safety of the internet in Canada.

If the commission approves a botnet-fighting framework internet customers should have the option of opting in, it adds, and ensure privacy and minimize collection of user data.

Distributel, another independent ISP: Provisions that protect and ensure end-user privacy, place end-users in control of their decision to participate, and minimize the monitoring, collection and usage of end-user information will be of central importance if the Commission were to proceed with the implementation of a network-level blocking framework.

The Public Interest Advocacy Centre: There is limited evidence on the record thus far to support the assertion that network-level anti-botnet efforts are sufficiently effective at catching most malicious botnets and at minimizing false-positives. Consequently, PIAC submits that the evidence, at this time, only supports commission intervention in the form of voluntary guidelines for ISPs, such as a best practices guide, over mandatory standards, such as a network-level botnet blocking framework, since the benefits of network-level anti-botnet efforts do not clearly outweigh the negative effects of anti-botnet activities on civil liberties and consumer rights.

The Canadian Internet Registry Authority (which oversees the .ca domain): Adoption of a new network-level blocking framework by ISPs must be voluntary. There should be a simple mechanism for users to opt-out of any filtering provided by an ISP. The decision to block a given cyber threat should not be made by just one actor. To prevent a single point of failure, the framework should provide for multiple certified parties to offer block lists, and use that certification as a key oversight mechanism. Parties providing block lists must be independent from any internet service provider or content provider.

The Samuelson-Glushko Canadian Internet Policy & Public Interest Clinic: (CIPPIC): The CRTC has the power to authorize but not compel filtering for network security purposes. It is also important to note that, with the rapid expansion of networked and connected devices, most effective botnet mitigation efforts will occur within a customers home network.

The Digital ID and Authentication Council of Canada: Instead of pursuing a top-down, one-size-fits all technical and regulatory options, it would be simpler and more beneficial to pursue citizen-focused solutions to prevent malicious internet traffic. Solutions for consideration include access control via connections from a secure digital ID wallet. These technologies are viable, built in Canada, and shift the focus from government oversight and surveillance to individual empowerment.

Jim Love, Chief Content Officer, IT World Canada

Originally posted here:
Canada's big carriers, ISPs turn thumbs down on proposed mandatory botnet-fighting regime - IT World Canada

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Global Biohacking Market 2020-2025: COVID-19 Pandemic has Led to a Surge in Market Growth for the Pharma Industries Engaged in Biohacking -…

Dublin, March 18, 2021 (GLOBE NEWSWIRE) -- The "Global Biohacking Market (2020-2025) by Product, Application, Type, End-User, Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.

Key factors, such as the innovative trends of neuro-nutrition & growing biohacking in the health & wellness space, are likely to contribute to the growth of the market. Penetration of the Internet of Things in healthcare, fitness, and consumer electronics such as fitness bands also boosts the market growth.

Rising demand for smart devices and effective drugs to meet the daily healthcare needs amongst the population and the prevalence of chronic disorders are factors driving the market growth. The COVID-19 pandemic has led to a surge in market growth for the pharma industries engaged in biohacking.

However, strict government regulations governing the genetic engineering experiments, lack of funds required for research, and lack of expertise are likely to hinder the market growth. Cybersecurity practices are expected to pose a challenge for the biohacking market.

Market Segmentation

By Product, the market is classified as Sensors, Smart Drugs, Strains & Others. Amongst all, the Smart Drugs segment is estimated to hold the highest market share.

By Application, the market is segmented as Synthetic Biology, Forensic Science, Genetic Engineering, Diagnosis & Treatment, and Drug Testing. Diagnosis & Treatment is estimated to hold the highest market share during the forecast period.

By Type, the market is classified as Inside and Outside Biohacking. The Outside Biohacking segment holds the highest market share.

By End User, the market is classified as Pharmaceutical & Biotechnology Companies, Forensic Laboratories, and Others. Amongst all, the Pharmaceutical & Biotechnology Companies segment is estimated to hold the highest market share.

By Geography, North American countries followed by the nations in the European region accounted for the dominant share of the market.

Recent Developments

1. Fitbit Collaborates with Scripps Research and Stanford Medicine to Study the Role of Wearables to Detect, Track and Contain Infectious Diseases like COVID-19 - 4th April 20202. InteraXon announced a new product launch - Muse S, a Meditation Sleep Headband - 9th January 2020

Company Profiles

Some of the companies covered in this report are Apple, THE ODIN, Thync Global, Fitbit, Synbiota, Moodmetric, HVMN, InteraXon Inc, etc.

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments and growth in market share.

Key Topics Covered:

1 Report Description

2 Research Methodology

3 Executive Summary

4 Market Overview4.1 Introduction 4.2 Market Dynamics4.2.1 Drivers4.2.1.1 Innovative Trends of Neuro-Nutrition and Biohacking in The Wellness Space 4.2.1.2 Increase in The Use of Radiofrequency Identification (RFID) Technology in Medical Devices 4.2.1.3 Rising Demand for Smart Devices and Drugs 4.2.1.4 Penetration of Internet of Things (IoT) In Healthcare, Fitness, and Consumer Electronics 4.2.2 Restraints4.2.2.1 Stringent Government Regulations Governing the Genetic Engineering Experiments4.2.2.2 Lack of Funds Required for Research 4.2.2.3 Lack of Expertise 4.2.3 Opportunities4.2.3.1 Lab Experiments with The Use of Medical, Nutritional, and Electronic Technique 4.2.3.2 Advancement in Technologies4.2.3.3 The Sharp Rise in Chronic Diseases Coupled with The Growing Geriatric Population4.2.4 Challenges4.2.4.1 Cyber Security Concerns4.3 Trends

5 Market Analysis5.1 Porter's Five Forces Analysis5.2 Impact of COVID-195.3 Ansoff Matrix Analysis

6 Global Biohacking Market, By Product6.1 Introduction6.2 Smart Drugs6.3 Sensors6.4 Strains6.5 Others

7 Global Biohacking Market, By Application7.1 Introduction 7.2 Synthetic Biology7.3 Genetic Engineering7.4 Forensic Science7.5 Diagnosis & Treatment7.6 Drug Testing

8 Global Biohacking Market, By Type8.1 Introduction8.2 Inside8.3 Outside

9 Global Biohacking Market, By End User9.1 Introduction9.2 Pharmaceutical & Biotechnology Companies9.3 Forensic Laboratories9.4 Others

10 Global Biohacking Market, By Geography

11 Competitive Landscape11.1 IGR Competitive Quadrant11.2 Market Share Analysis11.3 Competitive Scenario11.3.1 Mergers & Acquisitions11.3.2 Agreement, Collaborations, & Partnerships11.3.3 New Product Launches & Enhancements11.3.4 Investments & funding

12 Company Profiles12.1 Apple12.2 THE ODIN 12.3 Thync Global 12.4 Fitbit 12.5 Synbiota 12.6 Moodmetric 12.7 HVMN 12.8 InteraXon 12.9 Modern AlkaMe12.10 Behavioral Tech

For more information about this report visit https://www.researchandmarkets.com/r/ajukd1

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Global Biohacking Market 2020-2025: COVID-19 Pandemic has Led to a Surge in Market Growth for the Pharma Industries Engaged in Biohacking -...

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Internet Security Hardware Market Size 2021: Production, Revenue, Price Trend By Types & Market Analysis By Application and Forecast 20212027|…

Los Angeles, United State:The report is a compilation of comprehensive research studies on various aspects of the Global Internet Security Hardware Market. With accurate data and highly authentic information, it makes a brilliant attempt to provide a real, transparent picture of current and future situations of the global Internet Security Hardware market. Market participants can use this powerful tool when creating effective business plans or making important changes to their strategies. The report discusses about the growth of the global as well as regional markets. It also brings to light high-growth segments of the global Internet Security Hardware market and how they will progress in the coming years.

Get Full PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) https://www.qyresearch.com/sample-form/form/2877912/global-internet-security-hardware-market

The authors of report have analyzed the vendor landscape in great detail with special focus on leading players of the global Internet Security Hardware market. The report answers critical questions of players and provides deep assessment of production, consumption, manufacturing, sales, and other vital factors. Importantly, it analyzes crucial market dynamics, including drivers, restraints, trends, and opportunities. With the help of the report, players can easily identify untapped opportunities available in the global Internet Security Hardware market. Moreover, they will be able to gain crucial insights not only into the growth of the global Internet Security Hardware market but also its product, application, and regional segments.

Key Players Mentioned in the Global Internet Security Hardware Market Research Report: Cisco, Huawei, Zyxel, Sonic, Bitdefender, Protectli, BullGuard, Fortinet, Ubiquiti, Cujo, Netgear, Linksys, Barracuda, Juniper, Sophos, WatchGuard Technologies, Inc, Hillstone

Global Internet Security Hardware Market by Type: Wireless, Wired

Global Internet Security Hardware Market by Application: Enterprises, Home, Organizations, Data Centers, Others

Are you looking for thorough analysis of the competition in the global Internet Security Hardware market? Well, this report offers just the right analysis you are looking for. Furthermore, you can ask for a customization of the report based on your requirements. The authors of the report are subject matter experts and hold strong knowledge and experience in market research. In the competitive analysis section, the report throws light on key strategies, future development plans, product portfolios, and other aspects of the business of top players. The report provides enough information and data to help readers to gain sound understanding of the vendor landscape.

The researchers authoring this report have segmented the global Internet Security Hardware market according to type of product and application. Each segment included in the report is analyzed based on various factors such as market share, CAGR, market size, demand, and future growth potential. The segmental study provided in the report will help players to focus on key growth areas of the global Internet Security Hardware market. The analysts have also focused on regional analysis of the global Internet Security Hardware market. Here, growth opportunities in key regions and countries have been explored by the analysts.

Questions Answered by the Report:

Request for customization in Report: https://www.qyresearch.com/customize-request/form/2877912/global-internet-security-hardware-market

Table of Contents

1 Internet Security Hardware Market Overview1.1 Internet Security Hardware Product Overview1.2 Internet Security Hardware Market Segment by Type1.2.1 Wireless1.2.2 Wired1.3 Global Internet Security Hardware Market Size by Type1.3.1 Global Internet Security Hardware Market Size Overview by Type (2016-2027)1.3.2 Global Internet Security Hardware Historic Market Size Review by Type (2016-2021)1.3.2.1 Global Internet Security Hardware Sales Breakdown in Volume by Type (2016-2021)1.3.2.2 Global Internet Security Hardware Sales Breakdown in Value by Type (2016-2021)1.3.2.3 Global Internet Security Hardware Average Selling Price (ASP) by Type (2016-2021)1.3.3 Global Internet Security Hardware Forecasted Market Size by Type (2022-2027)1.3.3.1 Global Internet Security Hardware Sales Breakdown in Volume by Type (2022-2027)1.3.3.2 Global Internet Security Hardware Sales Breakdown in Value by Type (2022-2027)1.3.3.3 Global Internet Security Hardware Average Selling Price (ASP) by Type (2022-2027)1.4 Key Regions Market Size Segment by Type1.4.1 North America Internet Security Hardware Sales Breakdown by Type (2016-2021)1.4.2 Europe Internet Security Hardware Sales Breakdown by Type (2016-2021)1.4.3 Asia-Pacific Internet Security Hardware Sales Breakdown by Type (2016-2021)1.4.4 Latin America Internet Security Hardware Sales Breakdown by Type (2016-2021)1.4.5 Middle East and Africa Internet Security Hardware Sales Breakdown by Type (2016-2021)

2 Global Internet Security Hardware Market Competition by Company2.1 Global Top Players by Internet Security Hardware Sales (2016-2021)2.2 Global Top Players by Internet Security Hardware Revenue (2016-2021)2.3 Global Top Players Internet Security Hardware Price (2016-2021)2.4 Global Top Manufacturers Internet Security Hardware Manufacturing Base Distribution, Sales Area, Product Type2.5 Internet Security Hardware Market Competitive Situation and Trends2.5.1 Internet Security Hardware Market Concentration Rate (2016-2021)2.5.2 Global 5 and 10 Largest Manufacturers by Internet Security Hardware Sales and Revenue in 20202.6 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Internet Security Hardware as of 2020)2.7 Date of Key Manufacturers Enter into Internet Security Hardware Market2.8 Key Manufacturers Internet Security Hardware Product Offered2.9 Mergers & Acquisitions, Expansion

3 Internet Security Hardware Status and Outlook by Region3.1 Global Internet Security Hardware Market Size and CAGR by Region: 2016 VS 2021 VS 20263.2 Global Internet Security Hardware Historic Market Size by Region3.2.1 Global Internet Security Hardware Sales in Volume by Region (2016-2021)3.2.2 Global Internet Security Hardware Sales in Value by Region (2016-2021)3.2.3 Global Internet Security Hardware Sales (Volume & Value) Price and Gross Margin (2016-2021)3.3 Global Internet Security Hardware Forecasted Market Size by Region3.3.1 Global Internet Security Hardware Sales in Volume by Region (2022-2027)3.3.2 Global Internet Security Hardware Sales in Value by Region (2022-2027)3.3.3 Global Internet Security Hardware Sales (Volume & Value), Price and Gross Margin (2022-2027)

4 Global Internet Security Hardware by Application4.1 Internet Security Hardware Market Segment by Application4.1.1 Enterprises4.1.2 Home4.1.3 Organizations4.1.4 Data Centers4.1.5 Others4.2 Global Internet Security Hardware Market Size by Application4.2.1 Global Internet Security Hardware Market Size Overview by Application (2016-2027)4.2.2 Global Internet Security Hardware Historic Market Size Review by Application (2016-2021)4.2.2.1 Global Internet Security Hardware Sales Breakdown in Volume, by Application (2016-2021)4.2.2.2 Global Internet Security Hardware Sales Breakdown in Value, by Application (2016-2021)4.2.2.3 Global Internet Security Hardware Average Selling Price (ASP) by Application (2016-2021)4.2.3 Global Internet Security Hardware Forecasted Market Size by Application (2022-2027)4.2.3.1 Global Internet Security Hardware Sales Breakdown in Volume, by Application (2022-2027)4.2.3.2 Global Internet Security Hardware Sales Breakdown in Value, by Application (2022-2027)4.2.3.3 Global Internet Security Hardware Average Selling Price (ASP) by Application (2022-2027)4.3 Key Regions Market Size Segment by Application4.3.1 North America Internet Security Hardware Sales Breakdown by Application (2016-2021)4.3.2 Europe Internet Security Hardware Sales Breakdown by Application (2016-2021)4.3.3 Asia-Pacific Internet Security Hardware Sales Breakdown by Application (2016-2021)4.3.4 Latin America Internet Security Hardware Sales Breakdown by Application (2016-2021)4.3.5 Middle East and Africa Internet Security Hardware Sales Breakdown by Application (2016-2021)

5 North America Internet Security Hardware by Country5.1 North America Internet Security Hardware Historic Market Size by Country5.1.1 North America Internet Security Hardware Sales in Volume by Country (2016-2021)5.1.2 North America Internet Security Hardware Sales in Value by Country (2016-2021)5.2 North America Internet Security Hardware Forecasted Market Size by Country5.2.1 North America Internet Security Hardware Sales in Volume by Country (2022-2027)5.2.2 North America Internet Security Hardware Sales in Value by Country (2022-2027)

6 Europe Internet Security Hardware by Country6.1 Europe Internet Security Hardware Historic Market Size by Country6.1.1 Europe Internet Security Hardware Sales in Volume by Country (2016-2021)6.1.2 Europe Internet Security Hardware Sales in Value by Country (2016-2021)6.2 Europe Internet Security Hardware Forecasted Market Size by Country6.2.1 Europe Internet Security Hardware Sales in Volume by Country (2022-2027)6.2.2 Europe Internet Security Hardware Sales in Value by Country (2022-2027)

7 Asia-Pacific Internet Security Hardware by Region7.1 Asia-Pacific Internet Security Hardware Historic Market Size by Region7.1.1 Asia-Pacific Internet Security Hardware Sales in Volume by Region (2016-2021)7.1.2 Asia-Pacific Internet Security Hardware Sales in Value by Region (2016-2021)7.2 Asia-Pacific Internet Security Hardware Forecasted Market Size by Region7.2.1 Asia-Pacific Internet Security Hardware Sales in Volume by Region (2022-2027)7.2.2 Asia-Pacific Internet Security Hardware Sales in Value by Region (2022-2027)

8 Latin America Internet Security Hardware by Country8.1 Latin America Internet Security Hardware Historic Market Size by Country8.1.1 Latin America Internet Security Hardware Sales in Volume by Country (2016-2021)8.1.2 Latin America Internet Security Hardware Sales in Value by Country (2016-2021)8.2 Latin America Internet Security Hardware Forecasted Market Size by Country8.2.1 Latin America Internet Security Hardware Sales in Volume by Country (2022-2027)8.2.2 Latin America Internet Security Hardware Sales in Value by Country (2022-2027)

9 Middle East and Africa Internet Security Hardware by Country9.1 Middle East and Africa Internet Security Hardware Historic Market Size by Country9.1.1 Middle East and Africa Internet Security Hardware Sales in Volume by Country (2016-2021)9.1.2 Middle East and Africa Internet Security Hardware Sales in Value by Country (2016-2021)9.2 Middle East and Africa Internet Security Hardware Forecasted Market Size by Country9.2.1 Middle East and Africa Internet Security Hardware Sales in Volume by Country (2022-2027)9.2.2 Middle East and Africa Internet Security Hardware Sales in Value by Country (2022-2027)

10 Company Profiles and Key Figures in Internet Security Hardware Business10.1 Cisco10.1.1 Cisco Corporation Information10.1.2 Cisco Introduction and Business Overview10.1.3 Cisco Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.1.4 Cisco Internet Security Hardware Products Offered10.1.5 Cisco Recent Development10.2 Huawei10.2.1 Huawei Corporation Information10.2.2 Huawei Introduction and Business Overview10.2.3 Huawei Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.2.4 Cisco Internet Security Hardware Products Offered10.2.5 Huawei Recent Development10.3 Zyxel10.3.1 Zyxel Corporation Information10.3.2 Zyxel Introduction and Business Overview10.3.3 Zyxel Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.3.4 Zyxel Internet Security Hardware Products Offered10.3.5 Zyxel Recent Development10.4 Sonic10.4.1 Sonic Corporation Information10.4.2 Sonic Introduction and Business Overview10.4.3 Sonic Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.4.4 Sonic Internet Security Hardware Products Offered10.4.5 Sonic Recent Development10.5 Bitdefender10.5.1 Bitdefender Corporation Information10.5.2 Bitdefender Introduction and Business Overview10.5.3 Bitdefender Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.5.4 Bitdefender Internet Security Hardware Products Offered10.5.5 Bitdefender Recent Development10.6 Protectli10.6.1 Protectli Corporation Information10.6.2 Protectli Introduction and Business Overview10.6.3 Protectli Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.6.4 Protectli Internet Security Hardware Products Offered10.6.5 Protectli Recent Development10.7 BullGuard10.7.1 BullGuard Corporation Information10.7.2 BullGuard Introduction and Business Overview10.7.3 BullGuard Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.7.4 BullGuard Internet Security Hardware Products Offered10.7.5 BullGuard Recent Development10.8 Fortinet10.8.1 Fortinet Corporation Information10.8.2 Fortinet Introduction and Business Overview10.8.3 Fortinet Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.8.4 Fortinet Internet Security Hardware Products Offered10.8.5 Fortinet Recent Development10.9 Ubiquiti10.9.1 Ubiquiti Corporation Information10.9.2 Ubiquiti Introduction and Business Overview10.9.3 Ubiquiti Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.9.4 Ubiquiti Internet Security Hardware Products Offered10.9.5 Ubiquiti Recent Development10.10 Cujo10.10.1 Company Basic Information, Manufacturing Base and Competitors10.10.2 Internet Security Hardware Product Category, Application and Specification10.10.3 Cujo Internet Security Hardware Sales, Revenue, Price and Gross Margin (2016-2021)10.10.4 Main Business Overview10.10.5 Cujo Recent Development10.11 Netgear10.11.1 Netgear Corporation Information10.11.2 Netgear Introduction and Business Overview10.11.3 Netgear Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.11.4 Netgear Internet Security Hardware Products Offered10.11.5 Netgear Recent Development10.12 Linksys10.12.1 Linksys Corporation Information10.12.2 Linksys Introduction and Business Overview10.12.3 Linksys Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.12.4 Linksys Internet Security Hardware Products Offered10.12.5 Linksys Recent Development10.13 Barracuda10.13.1 Barracuda Corporation Information10.13.2 Barracuda Introduction and Business Overview10.13.3 Barracuda Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.13.4 Barracuda Internet Security Hardware Products Offered10.13.5 Barracuda Recent Development10.14 Juniper10.14.1 Juniper Corporation Information10.14.2 Juniper Introduction and Business Overview10.14.3 Juniper Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.14.4 Juniper Internet Security Hardware Products Offered10.14.5 Juniper Recent Development10.15 Sophos10.15.1 Sophos Corporation Information10.15.2 Sophos Introduction and Business Overview10.15.3 Sophos Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.15.4 Sophos Internet Security Hardware Products Offered10.15.5 Sophos Recent Development10.16 WatchGuard Technologies, Inc10.16.1 WatchGuard Technologies, Inc Corporation Information10.16.2 WatchGuard Technologies, Inc Introduction and Business Overview10.16.3 WatchGuard Technologies, Inc Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.16.4 WatchGuard Technologies, Inc Internet Security Hardware Products Offered10.16.5 WatchGuard Technologies, Inc Recent Development10.17 Hillstone10.17.1 Hillstone Corporation Information10.17.2 Hillstone Introduction and Business Overview10.17.3 Hillstone Internet Security Hardware Sales, Revenue and Gross Margin (2016-2021)10.17.4 Hillstone Internet Security Hardware Products Offered10.17.5 Hillstone Recent Development

11 Upstream, Opportunities, Challenges, Risks and Influences Factors Analysis11.1 Internet Security Hardware Key Raw Materials11.1.1 Key Raw Materials11.1.2 Key Raw Materials Price11.1.3 Raw Materials Key Suppliers 11.2 Manufacturing Cost Structure11.2.1 Raw Materials11.2.2 Labor Cost11.2.3 Manufacturing Expenses11.3 Internet Security Hardware Industrial Chain Analysis11.4 Internet Security Hardware Market Dynamics11.4.1 Industry Trends11.4.2 Market Drivers11.4.3 Market Challenges11.4.4 Market Restraints

12 Market Strategy Analysis, Distributors12.1 Sales Channel12.2 Internet Security Hardware Distributors12.3 Internet Security Hardware Downstream Customers

13 Research Findings and Conclusion

14 Appendix14.1 Research Methodology14.1.1 Methodology/Research Approach14.1.1.1 Research Programs/Design14.1.1.2 Market Size Estimation14.1.1.3 Market Breakdown and Data Triangulation14.1.2 Data Source14.1.2.1 Secondary Sources14.1.2.2 Primary Sources14.2 Author Details14.3 Disclaimer

About Us:

QY Research established in 2007, focus on custom research, management consulting, IPO consulting, industry chain research, data base and seminar services. The company owned a large basic data base (such as National Bureau of statistics database, Customs import and export database, Industry Association Database etc), experts resources (included energy automotive chemical medical ICT consumer goods etc.

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Internet Security Hardware Market Size 2021: Production, Revenue, Price Trend By Types & Market Analysis By Application and Forecast 20212027|...

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