Privacy, Security And Forensics in The Internet of Things (IoT)

This book provides the most recent security, privacy, technical, and legal challenges in the IoT environments and offers a wide range of theoretical and technical solutions to address these challenges. It also focuses on the ethical design of the IoT and the large volumes of data being collected and processed to understand individuals' perceptions of data and trust.

Format: Paperback / softback
Length: 210 pages
Publication date: 18 February 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest security, privacy, technical, and legal challenges posed by the Internet of Things (IoT). It provides a comprehensive range of theoretical and practical solutions to address these complex issues. The book explores various topics such as IoT, privacy, ethics, and security, the application of machine learning algorithms in identifying malicious websites, investigations into cases involving cryptocurrencies, the challenges faced by police and law enforcement in policing cyberspace, the use of IoT in modern terrorism and violent extremism, the challenges of IoT in industrial control systems, and the impact of social media platforms on radicalization to terrorism and violent extremism. Additionally, the book emphasizes the ethical design of the IoT and the vast amounts of data being collected and processed to understand individuals' perceptions of data and trust. A particular focus is placed on data ownership and perceived rights online. The book examines cyber security challenges associated with the IoT, utilizing Industrial Control Systems, with practical real-time considerations. Furthermore, it compares and analyzes different machine learning techniques, including Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data undergoes multiple steps of pre-processing, including data formatting, missing value replacement, scaling, and principal component analysis. This book adopts a multidisciplinary approach, making it valuable for researchers working in the fields of security, privacy, technical, and legal challenges in the IoT environments, as well as advanced-level students majoring in computer science.

Weight: 361g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030912208
Edition number: 1st ed. 2022