Deep learning techniques for IoT security and privacy / Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding.
Abdel-Basset, Mohamed, 1985-; Moustafa, Nour.; Hawash, Hossam.; Ding, Weiping.
2022
Q325.5
Available Online

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Title Deep learning techniques for IoT security and privacy / Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding.
Author Abdel-Basset, Mohamed, 1985-
ISBN 9783030890254 (electronic bk.)
3030890252 (electronic bk.)
3030890244
9783030890247
DOI https://doi.org/10.1007/978-3-030-89025-4
Imprint Cham : Springer, [2022]
Language English
Description 1 online resource (273 pages)
Other Standard Identifiers 10.1007/978-3-030-89025-4 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Added Author Moustafa, Nour.
Hawash, Hossam.
Ding, Weiping.
Series Studies in computational intelligence ; v. 997.
Available in Other Form Deep Learning Techniques for IoT Security and Privacy.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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