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The SolarWinds cyberattack of 2020 was cited by security experts as “one of the potentially largest penetrations of Western governments” since the Cold War. This attack put cybersecurity front and center on people’s minds again. Hacking communication protocol The attack targeted the US government and reportedly compromised the treasury and commerce departments and Homeland Security. What’s interesting about the SolarWinds attack is that it was caused by the exploitation of a hacker who injected a backdoor communications protocol. This means that months ahead of the attack, hackers broke into SolarWinds systems and added malicious code into the company’s software development system. Later on, updates being pushed out included the malicious code, creating a backdoor communication for the hackers to use. Once a body is hacked, access can be gained to many. An explosion of network devices What has made the threat of cyberattacks much more prominent these days has been IT's growth in the last 20 years, notably cheaper and cheaper IoT devices. This has led to an explosion of network devices. IT spending has never really matched the pace of hardware and software growth Compounding this issue is that IT spending has never really matched the pace of hardware and software growth. Inevitably, leading to vulnerabilities, limited IT resources, and an increase in IoT devices get more attention from would-be hackers. Bridging the cybersecurity gap In the author’s view, this is the main reason why the cybersecurity gap is growing. This is because it inevitably boils down to counter-strike versus counter-strike. IT teams plug holes, and hackers find new ones, that is never going to stop. The companies must continue fighting cyber threats by developing new ways of protecting through in-house testing, security best practice sources, and both market and customer leads. End-user awareness One of the key battlegrounds here is the education of end-users. This is an area where the battle is being won at present, in the author’s opinion. End-users awareness of cybersecurity is increasing. It is crucial to educate end-users on what IoT devices are available, how they are configured, how to enable it effectively, and critically, how to use it correctly and safely. Physical security network A valuable product that tackles cybersecurity is, of course, Razberi Monitor™, which is new to ComNet’s portfolio. Monitor™ is a software platform that provides a top-down view of the physical security network and ecosystem. Monitor™ is a software platform that provides a top-down view of the physical security network and ecosystem It monitors and manages all the system components for cybersecurity and system health, providing secure visibility into the availability, performance, and cyber posture of servers, storage, cameras, and networked security devices. Proactive maintenance By intelligently utilizing system properties and sensor data, Razberi’s award-winning cybersecurity software prevents problems while providing a centralized location for asset and alert management. Monitor™ enables proactive maintenance by offering problem resolutions before they become more significant problems. Identifying issues before they fail and become an outage is key to system availability and, moreover, is a considerable cost saving.
Human beings have a long-standing relationship with privacy and security. For centuries, we’ve locked our doors, held close our most precious possessions, and been wary of the threats posed by thieves. As time has gone on, our relationship with security has become more complicated as we’ve now got much more to be protective of. As technological advancements in security have got smarter and stronger, so have those looking to compromise it. Cybersecurity Cybersecurity, however, is still incredibly new to humans when we look at the long relationship that we have with security in general. As much as we understand the basics, such as keeping our passwords secure and storing data in safe places, our understanding of cybersecurity as a whole is complicated and so is our understanding of the threats that it protects against. However, the relationship between physical security and cybersecurity is often interlinked. Business leaders may find themselves weighing up the different risks to the physical security of their business. As a result, they implement CCTV into the office space, and alarms are placed on doors to help repel intruders. Importance of cybersecurity But what happens when the data that is collected from such security devices is also at risk of being stolen, and you don’t have to break through the front door of an office to get it? The answer is that your physical security can lose its power to keep your business safe if your cybersecurity is weak. As a result, cybersecurity is incredibly important to empower your physical security. We’ve seen the risks posed by cybersecurity hacks in recent news. Video security company Verkada recently suffered a security breach as malicious attackers obtained access to the contents of many of its live camera feeds, and a recent report by the UK government says two in five UK firms experienced cyberattacks in 2020. Cloud computing – The solution Cloud stores information in data centres located anywhere in the world, and is maintained by a third party Cloud computing offers a solution. The cloud stores your information in data centres located anywhere in the world and is maintained by a third party, such as Claranet. As the data sits on hosted servers, it’s easily accessible while not being at risk of being stolen through your physical device. Here’s why cloud computing can help to ensure that your physical security and the data it holds aren’t compromised. Cloud anxiety It’s completely normal to speculate whether your data is safe when it’s stored within a cloud infrastructure. As we are effectively outsourcing our security by storing our important files on servers we have no control over - and, in some cases, limited understanding of - it’s natural to worry about how vulnerable this is to cyber-attacks. The reality is, the data that you save on the cloud is likely to be a lot safer than that which you store on your device. Cyber hackers can try and trick you into clicking on links that deploy malware or pose as a help desk trying to fix your machine. As a result, they can access your device and if this is where you’re storing important security data, then it is vulnerable. Cloud service providers Cloud service providers offer security that is a lot stronger than the software in the personal computer Cloud service providers offer security that is a lot stronger than the software that is likely in place on your personal computer. Hyperscalers such as Microsoft and Amazon Web Service (AWS) are able to hire countless more security experts than any individual company - save the corporate behemoth - could afford. These major platform owners have culpability for thousands of customers on their cloud and are constantly working to enhance the security of their platforms. The security provided by cloud service providers such as Claranet is an extension of these capabilities. Cloud resistance Cloud servers are located in remote locations that workers don’t have access to. They are also encrypted, which is the process of converting information or data into code to prevent unauthorized access. Additionally, cloud infrastructure providers like ourselves look to regularly update your security to protect against viruses and malware, leaving you free to get on with your work without any niggling worries about your data being at risk from hackers. Data centres Cloud providers provide sophisticated security measures and solutions in the form of firewalls and AI Additionally, cloud providers are also able to provide sophisticated security measures and solutions in the form of firewalls and artificial intelligence, as well as data redundancy, where the same piece of data is held within several separate data centres. This is effectively super-strong backup and recovery, meaning that if a server goes down, you can access your files from a backup server. Empowering physical security with cybersecurity By storing the data gathered by your physical security in the cloud, you're not just significantly reducing the risk of cyber-attacks, but also protecting it from physical threats such as damage in the event of a fire or flood. Rather than viewing your physical and cybersecurity as two different entities, treat them as part of one system: if one is compromised, the other is also at risk. They should work in tandem to keep your whole organization secure.
For decades, the nature of global safety has been evolving. From physical security threats like large-scale terrorist attacks and lone actor stabbings to chemical threats such as the Salisbury poisonings and even microbiological threats such as COVID-19, new challenges are constantly arising and the threat landscape we operate in today is constantly changing. Compounding the complexity of the security issues is the complexity and nature of attacks. With the economic downturn, there is the traditional rise in theft, violence and other crimes. Compound this with unmanned businesses and work-at-home staff, and there is a perfect storm for a rise in security threats. Artificial intelligence (AI) and specifically the branch of AI known as machine learning (ML), was already causing widespread disruption in many industries, including the security industry. AI has been a driving force to replace labor-based business models with integrated data and actionable intelligence that is context-aware. It has become apparent that AI will play a big part in the ongoing fight against both pandemics such as COVID-19, as well as other threats that we may face in the future. With all of this in mind, 2021 is poised to be a big year for AI growth. While AI is going to continue to impact our lives in dozens of ways, from smart sensors to face mask compliance detection, the following reflects a few top trends and challenges that I have my eye on for 2021 as we close out this year. The rise of smart city investments One such example is the increasing development of smart cities and how AI can be leveraged to build safe communities. To date, we’ve seen an increase in the number of smart city programmes around the globe; cities that are beginning to deploy innovative technologies for the management and ease of life services. Compounding the complexity of the security issues is the complexity and nature of attacks Typical development of a city includes standard infrastructure - roads, schools, power, water, transportation. Now, internet, data and AI capabilities are part of the standard infrastructure requirements for all new developments. AI promises to deliver increased efficiencies with the infrastructure that will accommodate growing populations while reducing our impact on the environment, resources, and communities. Global cities now account for more than half of the world’s population, and the United Nations projects the number to balloon to 68% by mid-century. Owing to both demographic shifts and overall population growth, that means that around 2.5 billion people could be added to urban areas by the middle of the century, predicts the UN Department of Economic and Social Affairs (DESA). With an increase in population has come an increase in global spending on smart city initiatives to drive down the impact of growing urban concentration. Global spending on smart city initiatives is expected to total nearly $124 billion this year, an increase of 18.9% over 2019, according to IDC's Worldwide Semiannual Smart Cities Spending Guide, while Singapore, Tokyo, London and New York as the big spenders - expected to spend more than $1 billion in 2020. Using AI-driven technology to create safer public and private spaces Today, security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments to protect the population in a more efficient, and accurate manner. As we look ahead to the future of public safety, it’s clear that new AI technology can dramatically improve the effectiveness of today’s physical security space. One such deployment is the use of video object recognition/computer vision software that can be integrated into existing video monitoring security (VMS) systems. These enhanced VMS systems can be deployed both inside and outside of buildings to identify risks and flag threats, such weapons, aggressive behaviours, theft, and safety compliance. This helps to minimize the impact of a breach by an early alert to onsite security in real-time to the location and nature of the potential threat, allowing them to intervene before a loss occurs. These same AI-enabled video solutions can similarly be used to provide advanced business operations in retail, logistics, and manufacturing organizations. Multi-sensor security solutions Also, targeted magnetic and radar sensor technologies, concealed in everyday objects like planter boxes or inside walls, can now scan individuals and bags entering a building for concealed threat objects. Using AI/machine learning, these two sensor solutions combined can identify metal content on the body and bag and match the item to a catalog of threat items, such as guns, rifles, knives and bombs. Security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments Without this advanced multi-sensor solution, it becomes nearly impossible to discover a weapon on a person's body before it appears in an assailant’s hands. This multi-sensor solution allows for touchless, unobtrusive access to a building, but allows for immediate notification to onsite security when a concealed threat is detected. The hidden technology thus empowers security staff to intercept threats before they evolve into a wider scale attack, while also maintaining the privacy and civil liberties of the public, unless, of course, they are carrying a concealed weapon or pose a physical threat. With the advent of sophisticated surveillance and technological innovation, a level of caution must be exerted. Despite the ongoing global debate, there remains little regulation about the use of AI technologies in today’s physical security space. One thing is certain; it must be deployed in the right place, at the right time, with the right privacy and civil liberty protection objectives. People don’t want to be protected by omnipresent, obstructive and overbearing security systems that infringe on their privacy and civil liberties. They want a proper balance between security and their current way of life, one that must be fused together. Technology and tracing COVID-19 Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Traditionally, the key purpose of surveillance systems has been to detect and deter threats, including the detection of visible and hidden weapons and abnormal behavior. While this, of course, remains a primary focus, today we are seeing how surveillance systems defend against new invisible threats, as well as rapidly automate the process of contact-tracing to capture and contain a virus before it spreads. Again, the ability to track and trace through parsing algorithms that can manage through enormous amounts of data provides a highly scalable and rapid response mechanism to control the spread of threats. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact Although the threat may not be visible, it is just as destructive. By incorporating AI into existing technologies, government, healthcare and security professionals can monitor public spaces and environments through the combined use of digital and thermal video surveillance cameras and video management systems); just one of the solutions being explored. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact. By Using AI-powered video analytic software, businesses can monitor face masks, social distancing and large gathering compliance and also detect elevated body temperature. Critically, technology must be capable of both identifying and tracking the virus but also be unobtrusive. An unobtrusive system that is adaptable enough to be deployed across a range of environments where the public gathers in enclosed spaces is necessary to be effective. Security in 2021 Technology has proven itself to be a valuable ally in times of crisis. For smart cities, the use of innovative AI/machine learning technologies will help optimize security solutions in areas that are brimming with potential. As we look ahead to the future of security in a world that is impacted by such a wide range of threats, from physical to chemical to microbiological, it’s clear that new technologies, specifically AI can dramatically improve the effectiveness of security systems and help us to better defend against a wide spectrum of threats. Technology has a huge role to play in making our communities safe in 2021 and beyond, but for security systems to be effective, they must not be oppressive or obstructive. This will ensure they have the full support of the public - the key to success.
LILIN, a globally renowned manufacturer of IP video cameras, recording devices, and software, announced a strategic partnership with CyberLink, a pioneer of AI and facial recognition technologies to strike business opportunities for facial recognition. Together, CyberLink’s FaceMe AI facial recognition engine will be integrated into the LILIN facial recognition system to create comprehensive smart security and smart retail solutions. FaceMe AI facial recognition solution CyberLink’s FaceMe AI facial recognition engine achieves up to 99.7% accuracy of the NIST FRVT test, ranked No. 1 in Taiwan, and when combined with LILIN’s smart security solutions, enables one-stop smart security, data analysis and warning system service. LILIN’s smart security solution is suitable for access control management of commercial offices and factories and can provide business analysis for the restaurant and retail industries as well. AI facial recognition system LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate Along with over 40 years of experience in IP video manufacturing and development of IP cameras, recording devices and software, LILIN continues to pursue innovation. LILIN’s AI facial recognition system not only has the advantage of ‘3 High’ elements, encompassing a ‘High’ recognition rate, ‘High’ capacity, up to 100,000 face database and ‘High’ elevation angle to be recognized, but also supports multiple image inputs, and image search facial recognition, making it easy to distinguish the trajectory of personnel. Furthermore, companies can create file identification through a photo of the ID, and use one-stop central management to synchronize the data immediately, greatly reducing the precious time spent on complicated processes! Intelligent security solutions “LILIN has many years of smart security experience, providing insight into the market’s needs for creating a comprehensive intelligent security solution. LILIN is pleased to partner with CyberLink and integrates FaceMe into our facial recognition system to strengthen smart retail, smart healthcare, smart factory, and smart business applications. Through continued efforts, I believe that LILIN will provide the most advanced total security solution for global customers.” said Mr. C.C. Hsu, LILIN’s President. “If there was ever a field worthy of continued research and innovation, it’s security,” said Dr. Jau Huang, CEO of CyberLink, adding “Without a doubt, LILIN is a globally renowned provider and manufacturer of IoT devices and CyberLink is a worldwide pioneer developing facial recognition applications for connected devices. Together, we are setting a new standard for what makes a place secure by bringing to market new technologies that make our customers safer, and our businesses smarter.”
The COVID-19 pandemic is the defining global health crisis of our time. In order to be able to fight against it, mask detection and temperature measurement have become daily routines for everyone. In this situation, Merit LILIN, with over 40 years of experience in IP video manufacturers of IP cameras, recording devices, and software, have created a cost-effective COVID-19 solution to ensure end-user health and safety. Temperature measurement Many solutions should provide temperature information, with alert settings that trigger alarms when temperatures are high. The main component of LILIN Temperature Measuring Camera is a dual-lens camera with two sensors, one a visible image lens and the other a thermal array sensor. This design not only provides temperature information and color image information but also high-temperature alert settings when the temperature exceeds. Mask detection With COVID-19 rules and regulations now incorporating person protection equipment such as masks, many solutions are now geared towards mask detection. LILIN has its own mask detection AI, which can be run on an i3 CPU-supported PC. Using the LILIN AI system and Aida NAV server, the system can recognize if the person is wearing a mask or not. If the system identifies a user that is not wearing a mask, an alert goes out with an image of the person. It allows the application to run automatically and enforces the wearing of masks in many situations. A notification is sent to an administrator when an image of a person is captured. Social distancing measures In addition to temperature measurement and mask detection becoming daily epidemic prevention matters, maintaining social distance is extremely significant as well. Through the LILIN Aida detection system, people can calculate the social density and use it with alarm notifications, if an area exceeds the density threshold. Moreover, the LILIN COVID-19 solution has a wide range of applications in different sectors, including schools, public transportation systems, offices, retail and more. By doing so, extensive safety measures can combat COVID-19, providing the public with intelligent epidemic prevention solutions, through innovative AI detection systems.
With the introduction of the AIDA Traffic Management platform, LILIN has transformed Intelligent Traffic Systems from expensive, often inaccurate, and inflexible computer-vision solutions into a new simplified platform with embedded Artificial Intelligence (AI) that learns, adapts and detects every detail of street-level vehicle activity. Engineered for seamless integration into LILIN Windows®-based VMS products including Navigator Control Center, Navigator Corporate, and Navigator Enterprise, AIDA Traffic Management installs on the edge and uses metadata to bring real-time traffic data to organizations and municipalities. Enforcing parking and traffic violations AIDA is purpose-built for a flexible range of ITS applications, making each user-selected function completely automated and cost-efficient. For example, AIDA can extract data from vehicles traveling on multi-lane highways or urban streets, allowing municipalities to better enforce parking and traffic violations, recover stolen cars, or assist law enforcement in Amber Alerts. AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour AIDA can recognize 12 license plates per second on vehicles traveling up to 125 miles per hour, casting an astonishingly wide net. Police can store and later access this data, enabling investigators to zero in on a suspect's whereabouts and behavioral patterns. Besides monitoring cars, trucks and motorcycles, AIDA can detect pedestrians loitering or entering restricted areas. Capturing vital operational data In a parking lot, AIDA can compare license plate data to pre-defined lists of allowed or excluded vehicles before taking an appropriate action, such as opening a gate or generating an alert if an unauthorized vehicle enters an area as a value-added service. It can also locate available parking slots and broadcast this information to incoming cars. In addition to its security role, AIDA can capture vital operational data about parking infrastructures, including the number of cars served by time, day, and length of stay. This data can then be applied to help optimize a staffing schedule and maximize the profitability of a parking lot's rate structure. AIDA removes the hassles of traditional computer vision techniques that require extensive, CPU-draining image processing. In contrast, AIDA software incorporates an AI engine that is instructed to learn what to look for and is able to run multiple models on distributed AI CPU, GPU, and VPUs.
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