Blockchain and Machine Learning for IoT Security

The Internet of Things (IoT) is a technology that involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. However, IoT equipment has been designed without considering security issues, leading to many challenges in terms of protection against IoT threats. This book discusses various recent techniques and solutions related to IoT deployment, especially security and privacy, and offers remediation solutions for impaired security, mitigation methods, and prevention and improvement suggestions. It also discusses Blockchain technology as a solution for IoT.

Format: Hardback
Length: 152 pages
Publication date: 09 February 2024
Publisher: Taylor & Francis Ltd

The Internet of Things (IoT) is a rapidly evolving technology that involves the integration of physical devices, vehicles, household appliances, and various other physical appliances with sensors, software, and network connections to enable data collection and communication. This technology has permeated every aspect of our lives, from simple smart devices to wearable equipment and complex industrial machinery. However, the lack of consideration for security issues in IoT equipment has led to numerous challenges in protecting against IoT threats. These challenges can have severe consequences, ranging from data breaches and unauthorized access to physical harm.

Unlike other technological solutions, IoT technology lacks comprehensive standards and guidelines for security protection. Additionally, many users are unaware of the risks associated with IoT systems, making them vulnerable to attacks. To address these security concerns, Blockchain and Machine Learning for IoT Security explores various recent techniques and solutions related to IoT deployment, particularly in the areas of security and privacy.

This book provides a comprehensive overview of the IoT, covering its architecture, underlying technologies, and the security challenges at each layer. By considering the interplay between the architecture and underlying technologies, the authors offer detailed insights into the security concerns faced by IoT systems. They also provide remediation solutions for impaired security, mitigation methods, and prevention and improvement suggestions.

One of the key features of this book is its unique perspective on IoT security by introducing Machine Learning and Blockchain solutions. Machine Learning algorithms can be used to analyze large amounts of IoT data and identify patterns that indicate potential security threats. Blockchain technology, on the other hand, provides a secure and decentralized platform for storing and exchanging data, making it an ideal solution for IoT applications.

The book discusses practical solutions and real-world cases for IoT solutions in various areas, such as healthcare, transportation, and smart cities. By presenting these solutions, the authors aim to provide practitioners and researchers with the tools and knowledge necessary to secure IoT systems against various threats.

In conclusion, Blockchain and Machine Learning for IoT Security is a valuable resource for anyone interested in IoT security. By providing a comprehensive overview of the IoT, discussing recent techniques and solutions, and offering practical insights into securing IoT systems, this book contributes to the growing body of knowledge in this field. As the IoT continues to evolve, it is essential to prioritize security and privacy to ensure the safe and reliable operation of these systems.

Weight: 460g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032563442