ARM buying Duolog Technologies; teams with Broadcom on IoT chip

IoT Security

Article | July 5, 2023

IoT has undeniably become the massive growth propellant for modern-day business. Enterprises employ intelligent systems to improve production in factories, and reduce costs, build industrial automation systems to replace human assignments, monitor and reduce energy; and develop autonomous transportation to enhance driver safety. Inside these embedded systems are sensors that rapidly transmit data that must be immediately captured, processed, and acted upon. Traditional embedded database solutions don't understand and meet the complex needs of IoT devices when it comes to processing and managing data. IoT edge database solutions that can understand the constant data stream from sensors enable devices to make crucial decisions in milliseconds. Real-time Edge Data Processing Enterprisers and business owners prefer scalable edge data management solutions to deploy hundreds of IoT devices so that each device can manage, collect, and analyze the massive amounts of data these IoT sensors produce without losing performance. These devices must capture and store critical information so that the IoT node can make independent decisions and trigger appropriate reactions. Database queries allow device apps to get the information they need to make intelligent decisions in real-time, quickly and without wasting time. To be successful in the IoT, you need the right data management software and the ability to quickly collect and connect device data rapidly to get low latency. IoT Data Processing and Management Standard data management solutions do not fully address the complexity of architecting software for IoT data processing. Despite being the primary data source, sensors are often constrained by their limitations and fail to provide sophisticated analysis. The focus of IoT data analysis and management is to harvest real-time information and make sense of it quickly. A good solution uses technologies that many developers are already familiar with, like SQL, to solve the new problem of analyzing IoT sensors directly on edge devices. Conclusion While building a device application, at every stage, developers must make tough calls to select the best data management and database software to launch their edge-centric IoT systems. Such costly decisions consume significant development and validation time as well. Using existing IoT data management platforms is a better way to deal with scaling, security, and the weight of data. Businesses can set up, connect, and grow their IoT infrastructure with these platforms. Organizations don't have to build their own IoT infrastructure from scratch. Instead, they can use IoT platforms that give them access to IoT devices, cloud infrastructure, and networks worldwide. Small and medium-sized businesses may find this method saves money.

Industrial IoT, IoT Security

Article | July 11, 2023

Introduction We live in a world where technology is becoming more and more intertwined with our daily lives. It’s no longer just our laptops, smartphones, and tablets connected to the internet – now, our homes, cars, and even our clothes can be too. This interconnectedness is made possible by the internet of things (IoT), a network of physical objects equipped with sensors and software that allow them to collect and exchange data. IoT devices have the potential to transform the way we live and work. They can make our lives more convenient and help us be more efficient. IoT devices can also help us to save money and to improve the quality of our lives. IoT devices are devices that are connected to the internet and can collect, send, and receive data. They can be anything from fitness trackers to industrial machines. IoT devices are used across a variety of industries, and they are becoming more and more commonplace. At [x]cube LABS, we have helped global enterprises deliver great value to their consumers with IoT devices, and in this blog post, we will talk about how IoT devices are used in different industries. Additionally, we will give some examples of IoT devices that are being used in each industry. Healthcare IoT devices are being used in healthcare to provide better patient care and to improve the efficiency of healthcare organizations. IoT devices can be used to monitor patients’ vital signs, track their medication adherence, and collect data about their health. IoT devices can also be used to provide remote patient monitoring, track medical equipment, and support clinical research. There are many different types of IoT devices that are being used in healthcare. Some of the most common types of IoT devices that are being used in healthcare include wearable devices, such as fitness trackers and smartwatches; medical devices, such as pacemakers and insulin pumps; and hospital equipment, such as IV pumps and ventilators. All these devices collect data that can be used to improve patient care and make healthcare organizations more efficient. Manufacturing IoT devices are being used in manufacturing to improve the efficiency of production lines and to reduce the amount of waste. IoT devices can be used to track the production of products, monitor the condition of machinery, and control the flow of materials. IoT devices can also be used to provide data about the quality of products and to improve the safety of workers. One of the most common types of IoT devices that are being used in manufacturing is the industrial sensor. Industrial sensors are used to monitor the production of products, the condition of machinery, and the flow of materials. Industrial sensors can also be used to provide data about the quality of products and to improve the safety of workers. The availability of data from industrial sensors is helping manufacturers to improve the efficiency of production lines and to reduce the amount of waste. Retail IoT devices are being used in retail to improve the customer experience and increase sales. IoT devices can be used to track inventory, provide customer loyalty programs, and collect data about customer behavior. IoT devices can also be used to provide personalized recommendations, targeted promotions, and real-time customer support. IoT devices are changing the retail sector in a number of ways. One of the most important ways that IoT devices are changing retail is by providing retailers with real-time data about their customers’ behavior. This data allows retailers to provide a more personalized shopping experience. IoT devices are also being used to improve the efficiency of retail operations, such as inventory management and customer loyalty programs. Transportation IoT devices are being used in transportation to improve the safety of drivers and reduce traffic congestion. IoT devices can be used to monitor the condition of vehicles, track their location, and control their speed. IoT devices can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. One of the most common types of IoT devices that are being used in transportation is the GPS tracker. GPS trackers are used to monitor the location of vehicles, and they can be used to track the speed and movement of vehicles. GPS trackers can also be used to provide data about traffic conditions and to improve the efficiency of transportation systems. Agriculture Agriculture has become increasingly reliant on IoT devices in recent years. IoT devices are being used in agriculture to improve the yield of crops and to reduce the amount of water and fertilizer that is used. IoT devices can be utilized to monitor the condition of crops, track the location of farm animals, and control the flow of irrigation water. These innovations are helping farmers to increase the yield of their crops and to reduce the amount of water and fertilizer that is used. The data collected by IoT devices is also helping farmers to make more informed decisions about planting, irrigation, and crop maintenance. Smart Homes Smart homes are becoming increasingly popular, and IoT devices are the backbone of these systems. IoT devices are being used in homes to improve the security of the home, reduce energy consumption, and improve the quality of life. They can be used to monitor the condition of the home, track the location of family members, and control the operation of home appliances. What’s more, IoT devices can also provide data about the quality of the air, which can be used to improve the efficiency of home security systems. In the future, IoT devices will become an integral part of the smart home, and they will be used to control a wide variety of home appliances and systems. Aviation The aviation industry is making use of IoT devices to a great extent. The aviation sector is one of the most heavily regulated industries in the world, and IoT devices are being used to improve the safety of passengers and crew members. IoT is changing the aviation industry by providing data that can be used to improve the safety of pilots and passengers. IoT devices can be used to monitor the condition of aircraft, track their location, and control their speed. IoT devices can also be used to provide data about weather conditions and to improve the efficiency of aviation operations, which can ultimately lead to lower airfare prices. Energy The energy sector is also utilizing IoT for a variety of applications. One way that IoT is changing the energy sector is by providing data that can be used to improve the efficiency of energy production and consumption. They are being used to improve the efficiency of power generation and distribution. IoT devices can be used to monitor the condition of power plants, track the location of power lines, and control the flow of electricity. By using IoT devices to monitor and optimize the power grid, energy companies can reduce the amount of power that is wasted and ultimately lower energy bills for consumers. Conclusion IoT devices are changing the world in a number of ways. They are providing data that can be used to improve the efficiency of operations in a variety of industries, from retail to transportation to agriculture. It is likely that IoT devices will become an increasingly important part of our lives in the future due to the efficiency and data that they can provide.

Enterprise Iot

Article | July 20, 2023

5G trends are shaping the future of various technologies, from the Internet of Things to virtual reality. Learn more about the top trends in 5G to stay ahead of the competition in this sector. Contents 1 The Current State of IoT Data Security 2 Top Trends in IoT Data Security in 2023 2.1 Emergence of AI-powered Security Solutions 2.2 Potential of Blockchain Technology 2.3 Growing Use of Zero-trust Security Frameworks 2.4 Greater Emphasis on End-to-end Encryption 2.5 Industry and Government Collaboration 3 Conclusion As the Internet of Things (IoT) continues to rapidly expand, data security has become a critical concern for businesses and consumers alike. With recent high-profile breaches and cyberattacks, the latest trends in IoT data security focus on implementing stronger encryption and authentication protocols, as well as enhancing device-level security measures to protect sensitive data from potential threats. 1 The Current State of IoT Data Security The growing adoption of IoT has led to a digital transformation in the way businesses operate. IoT technology has enabled organizations to collect and analyze vast amounts of data in real-time, allowing for improved decision-making, increased operational efficiency, and enhanced customer experiences. Despite these benefits, organizations are currently facing significant IoT data security challenges that must be addressed to fully realize the potential of this technology. Companies recognize unauthorized access (43%), data privacy (38%), and data integrity (31%) as top IoT security challenges. (Source: Statista) Businesses are actively addressing these security challenges by investing in IoT and data security solutions. The global market for IoT data security continues to grow, and companies are increasingly investing in strategies for data security in the IoT. To secure access to mission-critical connected devices and sensitive data, it is imperative for businesses to keep track of IoT trends in data security. 2 Top Trends in IoT Data Security in 2023 2.1 Emergence of AI-powered Security Solutions AI-powered security systems can rapidly detect and respond to attacks, reducing the likelihood of significant damage to IoT devices or networks. In particular, its ability to analyze vast amounts of data in real-time and identify anomalies or potential security threats makes AI a vital component of an IoT data security strategy. Detecting an IoT security breach in progress is possible with AI security systems, which identifies unusual behavior by analyzing data patterns from IoT devices. AI can also be used to diagnose potential vulnerabilities in IoT devices and networks, allowing organizations to take proactive measures to address them before they are exploited. The pattern recognition capabilities of AI also help secure IoT technology through predictive analytics. By analyzing past data breaches and attacks, AI systems detect potential cyberattacks and develop predictive models to detect and respond to them proactively. AI-driven security systems have the potential to streamline incident response by lessening the load on cybersecurity teams and reducing response time. The ability to adapt and learn from a previous cyberattack allows machine learning (ML) algorithms to create novel strategies that prevent similar attacks in the future. AI represents a significant development in addressing IoT security concerns since it provides sophisticated capabilities to protect IoT networks and devices that conventional security measures cannot provide. AI-enabled security systems deliver immediate identification, reaction, and deterrence of possible threats, which is why they will be critical in ensuring data security in the IoT. 2.2 Potential of Blockchain Technology Blockchain's unique features, such as decentralization, immutability, and cryptographic security, provide a robust framework for secure communication and data sharing among IoT devices. By leveraging blockchain technology, businesses can ensure their IoT data's integrity, confidentiality, and authenticity. One of the key advantages of using blockchain for IoT data security is its decentralized nature. Blockchain networks are distributed and run on a peer-to-peer basis, making it difficult for attackers to compromise the network. This also makes it an ideal solution for recording and securing data from multiple access points, such as IIoT systems. Additionally, blockchain networks are designed to be immutable, making them an ideal solution for IoT data security and providing a tamper-proof and transparent ledger for recording data flow. This can help enterprises identify and mitigate security threats more quickly and efficiently, reducing the risk of cybersecurity incidents. A research paper published in Wireless Networks highlights the advantage of using a Blowfish Blockchain Model to enable IoT data sharing security, particularly for multimedia content. Blockchain technology is a promising solution for securing IoT data. Its unique features, including decentralization, immutability, and cryptographic security, make it an ideal candidate for many IoT use cases. This technology can potentially transform data security for IoT devices by offering the IoT sector the solution it requires. 2.3 Growing Use of Zero-trust Security Frameworks Zero-trust frameworks ensure that only authorized devices and users can access sensitive data and systems, protecting against insider threats and external attacks. This is especially important in IoT environments, where devices may lack traditional security measures like firewalls and antivirus software. Device identity management is a critical component of zero-trust security for IoT data. Only recognized devices are allowed access to a network or data by leveraging processes and technologies that authenticate device identity. With Zero Trust, any connected device must be authorized before accessing any resources, including data. By closely monitoring and managing access, businesses can maintain the security of the IoT. This protects against threats that exploit weak device identity management. Overall, zero-trust security frameworks are essential for safeguarding IoT data from malicious actors and protecting the integrity of IoT ecosystems. 2.4 Greater Emphasis on End-to-end Encryption IoT poses a threat to data security when users do not take proper measures to protect the data generated. End-to-end encryption provides a strong layer of protection against unauthorized access, interception, and other cyber threats by encrypting data at the source, during transmission, and at rest. IoT devices collect and process a wide range of sensitive data, from personal information and financial data to critical infrastructure and medical records. This data is often transmitted over networks and shared with cloud services, and the risk of cyberattacks during transmission cannot be ignored. End-to-end encryption can provide a strong layer of protection by encrypting data at the source, working to improve the limited data security of the IoT. As the use of IoT devices continues to grow, implementing end-to-end encryption will become increasingly important for ensuring the security and privacy of sensitive IoT data. 2.5 Industry and Government Collaboration In late 2021, the UK and Singapore governments became the first to announce obligatory security requirements for specific categories of IoT devices. Due to IoT data security risks, other countries have also defined guidelines, best practices, certifications, or labeling efforts for IoT devices. However, adoption among IoT device makers and vendors has been slow. The National Institute of Standards and Technology (NIST) has been working on establishing cybersecurity guidelines for IoT devices. In June 2022, NIST incorporated consumer IoT cybersecurity criteria into its family of IoT cybersecurity guidance. NIST is also working with the IoT industry to design, standardize, and test solutions for IoT security controls. By discussing IoT device security concepts and establishing guidelines in collaboration, the industry and the government can foster adoption of general methods to protect IoT devices from cybersecurity breaches. Such cooperation can be crucial in ensuring that IoT devices are secure from cyber threats and that IoT device makers and vendors adopt best practices for IoT device security. 3 Conclusion The trends in IoT data security showcase several proactive measures that can be taken to protect sensitive data in a rapidly evolving technological landscape. In addition, organizations are moving towards a more comprehensive approach to IoT data security with the emergence of AI-powered security solutions, blockchain technology, and the shift to zero-trust security frameworks. As IoT devices continue to proliferate, organizations must prioritize security and data protection to prevent data breaches and cyberattacks. This emphasizes the need for collaboration between industry and government to strengthen security measures and improve IoT device security by building with a ‘secure by design’ approach.

Article | April 10, 2020

As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.