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Deep Learning Techniques for IoT Security and Privacy

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep Learning Techniques for IoT Security and Privacy/ by Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding.
作者:	Abdel-Basset, Mohamed.
其他作者:	Ding, Weiping.
面頁冊數:	XXI, 257 p. 71 illus., 69 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-89025-4
ISBN:	9783030890254

Deep Learning Techniques for IoT Security and Privacy
Abdel-Basset, Mohamed.

Deep Learning Techniques for IoT Security and Privacy[electronic resource] /by Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding. - 1st ed. 2022. - XXI, 257 p. 71 illus., 69 illus. in color.online resource. - Studies in Computational Intelligence,9971860-9503 ;. - Studies in Computational Intelligence,564.

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.

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.

ISBN: 9783030890254

Standard No.: 10.1007/978-3-030-89025-4doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TA345-345.5

Dewey Class. No.: 620.00285

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