Mohamed Abdel-Basset,
Nour Moustafa,
Hossam Hawash,
Weiping Ding
e.a.
Springer International Publishing
e druk, 2021
9783030890247
Deep Learning Techniques for IoT Security and Privacy
Specificaties
Gebonden, blz.
|
Engels
Springer International Publishing |
e druk, 2021
ISBN13: 9783030890247
Rubricering
Onderdeel van serie
Studies in Computational Intelligence
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783030890247
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Inhoudsopgave
Chapter 1, Conceptualization of Security, Forensics, and Privacy of Internet of Things<div>Chapter 2, Internet of Things, Preliminaries and Foundations,</div><div>Chapter 3, Internet of Things Security Requirements, Threats, Countermeasures,</div><div>Chapter 4, Digital Forensics in Internet of Things</div><div>Chapter 5, Supervised Deep Learning for Secure Internet of Things</div>Chapter 6, Unsupervised Deep Learning for Secure Internet of Things<div>Chapter 7, Semi-supervised Deep Learning for Secure Internet of Things</div><div>Chapter 8, Reinforcement Learning for Secure Internet of Things</div><div>Chapter 9, Federated Learning for Privacy-Preserving Internet of Things</div><div>Chapter 10, Challenges, Opportunities, and Future Prospects</div><div><br></div>