R. Anandan’s research while affiliated with Institute of Science & Technology for Advanced Studies & Research and other places

The Artificial Internet of Medical Things (AIoMT)enables a new generation of medical devices with real-time data analytics, remote patient monitoring, and tailored medicine. This interconnected landscape also facilitates cyberattacks targeting sensitive and critical patient information. Cryptography is one Method of ensuring secure data transmission. IoT networks have boosted the concept of lightweight cryptography since IoT devices have limited resources, including power, memory, and batteries. These algorithms are designed to protect data efficiently while utilizing minimal resources. The research presents a comparative study of lightweight encryption algorithms evaluated by the National Institute of Standards and Technology (NIST) for suitability in securing data on AIoMT devices. Here, we analyze the Functional and Non-Functional characteristics of leading contenders. The value proposition of this research is to address the need to secure critical, sensitive patient information on AIoMT devices. The evaluation is performed using Raspberry Pi AI Kit, integrated with an M.2 HAT+ board and a Hailo-8L accelerator module; the Method adopted is a systematic literature review. Eight Models adopted AES, PRESENT, MSEA, LEA, XTEA, SIMON, PRINCE, and RECTANGLE; ML models adopted and trained and verified against each of the eight NIST lightweight encryption algorithms and every model assessed with key performance indicators such as precision, recall, F1-score, and accuracy.

The fundamentals of IoT security begin with the recognition that IoT devices are particularly vulnerable to cyber threats due to their vast connectivity and data exchange capabilities. A foundational aspect of IoT security is implementing strong authentication and authorization mechanisms. By restricting access to the network to authorized devices and users, unauthorized entry can be prevented, and data breaches can be mitigated. This includes employing multifactor authentication and leveraging certificates or other cryptographic methods to verify identities. Additionally, devices and users should only receive the minimum access necessary to perform their functions according to the principle of least privilege. For devices to be protected against newly discovered threats and address known vulnerabilities, firmware, and software must be regularly updated and patched.

In the realm of the Internet of Things (IoT), networks play a critical role in facilitating communication between devices, enabling data exchange, and supporting various applications. This overview provides a comprehensive look at crucial aspects of IoT networks, including protocols, models, and layers, as well as the design and deployment of Azure Edge Services for IoT applications.

Network topology serves as the backbone upon which innovative solutions are built. This subsection delves into the fundamental principles that govern network structures, providing a comprehensive understanding of how data flows and devices communicate within an IoT ecosystem. By grasping the intricacies of network topology, readers will gain the insights necessary to design resilient and scalable architectures tailored for Azure environments.

Welcome to the dynamic realm of IoT networks and cybersecurity. In today's interconnected world, the proliferation of IoT devices has fundamentally changed how we interact with technology. Before we embark on our exploration, it is crucial to understand the essence of IoT networks and the paramount importance of security within these interconnected systems.

The Internet of Things (IoT) disrupts businesses by connecting billions of devices to the cloud. This vast network generates a wealth of data, but managing and monitoring these devices can be complex. Azure IoT provides a comprehensive solution to address this challenge.

Planning a comprehensive plan for Microsoft Defender for IoT is paramount due to the unique security challenges associated with Internet of Things (IoT) devices. Unlike traditional computing devices, IoT devices often operate in diverse and distributed environments, making them susceptible to various threats. A well-structured plan is necessary to address these challenges and ensure the security and integrity of the IoT ecosystem.

In this book, you are at final stages, from the foundational steps to the final stage of Microsoft Defender for IoT management and security. This chapter serves as a comprehensive reference point for organizations seeking to optimize their security operations within operational technology (OT) environments.

In this book, you are at crucial stages, from the foundational steps to the advanced stage of Microsoft Defender for IoT deployment. Each section of this chapter is thoughtfully curated to provide a structured and in-depth understanding of the deployment processes for securing the Internet of Things (IoT) ecosystem.