Full Description
Advanced Investigation Strategies for IoT Forensics: Technical Solutions to Security and Investigative Methodologies in IoT Forensics is an edited book that explores the crossroads of digital forensics and the Internet of Things. The book offers a one-stop solution to understanding forensic mechanisms, security weaknesses, and privacy issues in IoT ecosystems. Spanning core theories, applied case studies, and new approaches—such as AI, blockchain, and memory forensics—the book is an essential handbook for researchers, practitioners, and students. From the international subject matter expert community, it presents a visionary summary of the future trends and ethical issues in IoT forensic analysis.
Features
Examines forensic investigation techniques focused on IoT devices and IoT systems.
Examines identification, data gathering, preservation, and evidence analysis tools and techniques in IoT systems.
Examines encryption algorithms, covert channel discovery, and privacy-preserving mechanisms.
Applies forensic case scenarios in healthcare, smart cities, and industrial control systems from real-world situations.
Addresses the ethical, legal, and compliance perspective of IoT forensics from a worldwide viewpoint.
Emphasizes trends such as AI, blockchain adoption, and edge computing, introducing the model for the development of forensic procedures.
The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.
Contents
Introduction to IoT Forensics. 2. Foundation of IoT Forensics. 3. Security Challenges in Large-Scale IoT Systems. 4. Tracing Devices and Privacy Concerns. 5. IoT Forensics: Opportunities and Challenges. 6. Innovative Approaches and Techniques in Digital Forensics. 7. Navigating the Legal and Ethical Maze: IoT Forensics. 8. Best Practices in IoT Forensics: Strategies and Techniques. 9. Forensics Analysis of IoT Network Traffic. 10. IoT Device Memory Forensics. 11. Advanced Investigation Strategic for Biometric Data Forensics in IoT. 12. Blockchain Technology in IoT Forensics. 13. AI and Machine Learning in IoT Forensics. 14. Cybersecurity Resilience in IoT Forensics. 15. Future Trends in IoT Forensics: Challenges, Opportunities, and Research Directions.
