Deep Learning Techniques for IoT Security and Privacy

ISBN-13: 9783030890278 / Angielski / Miękka / 2022 / 257 str.

Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash

Opis

This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

Spis treści

Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of Things

Chapter 2, Internet of Things, Preliminaries and Foundations,

Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures,

Chapter 4, Digital Forensics in Internet of Things

Chapter 5, Supervised Deep Learning for Secure Internet of Things

Chapter 6, Unsupervised Deep Learning for Secure Internet of Things

Chapter 7, Semi-supervised Deep Learning for Secure Internet of Things

Chapter 8, Reinforcement Learning for Secure Internet of Things

Chapter 9, Federated Learning for Privacy-Preserving Internet of Things

Chapter 10, Challenges, Opportunities, and Future Prospects