Mohamed Abdel-Basset,
Nour Moustafa,
Hossam Hawash,
Weiping Ding
e.a.
Deep Learning Techniques for IoT Security and Privacy
Gebonden Engels 2021 9783030890247Levertijd ongeveer 9 werkdagen
Gratis verzonden
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
Lezersrecensies
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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>
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