Home
Bücher
...
English Books
Genres
Technik
Allgemeines & Lexika
Deep Learning Techniques for IoT Security and Privacy

Deep Learning Techniques for IoT Security and Privacy

(0) Erste Bewertung abgeben

20%

CHF 153.60 Sie sparen CHF 38.40

Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.

Beschreibung

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.

Presents a Machine Learning Approach to Conducting Digital Forensics

Contains state-of-the-art research and shows how to teach hands-on incident response and digital forensic courses

Covers the applications of digital forensics and artificial intelligence in operating systems

Inhalt
Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of ThingsChapter 2, Internet of Things, Preliminaries and Foundations,Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures,Chapter 4, Digital Forensics in Internet of ThingsChapter 5, Supervised Deep Learning for Secure Internet of ThingsChapter 6, Unsupervised Deep Learning for Secure Internet of ThingsChapter 7, Semi-supervised Deep Learning for Secure Internet of ThingsChapter 8, Reinforcement Learning for Secure Internet of ThingsChapter 9, Federated Learning for Privacy-Preserving Internet of ThingsChapter 10, Challenges, Opportunities, and Future Prospects