Security and Privacy Issues in IoT Devices and Sensor Networks

Security and Privacy Issues in IoT Devices and Sensor Networks is a comprehensive book that explores security breach issues in IoT and sensor networks, providing practical solutions and case studies to enhance understanding. It covers machine learning techniques and other security paradigms, highlighting how they can be applied to identify attacks and vulnerabilities, preserve privacy, and enhance data security.

Format: Paperback / softback
Length: 334 pages
Publication date: 15 October 2020
Publisher: Elsevier Science Publishing Co Inc

Security and Privacy Issues in IoT Devices and Sensor Networks delves into the critical realm of security breaches in IoT and sensor networks, offering a comprehensive exploration of diverse solutions. This comprehensive book adopts a two-fold approach, first providing a solid foundation in the fundamentals and theory of sensor networks and IoT security. It then delves into practical implementations of security measures, backed by case studies, to safeguard these essential elements. Machine learning techniques, alongside other security paradigms like cloud security and cryptocurrency technologies, are extensively covered, highlighting their role in identifying attacks, preserving privacy, and enhancing data security. This in-depth reference is a valuable resource for industry professionals engaged with WSN and IoT systems, empowering them to enhance the security of their systems. Additionally, researchers, material developers, and technology specialists involved in the multifaceted aspects of data privacy and security enhancement will find this book to be a comprehensive and invaluable guide.

Weight: 702g
Dimension: 191 x 234 x 28 (mm)
ISBN-13: 9780128212554