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Deep learning techniques for IOT security and privacy

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep learning techniques for IOT security and privacyby Mohamed Abdel-Basset ... [et al.].
其他作者:	Abdel-Basset, Mohamed.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xxi, 257 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learning.
電子資源:	https://doi.org/10.1007/978-3-030-89025-4
ISBN:	9783030890254$q(electronic bk.)

Deep learning techniques for IOT security and privacy
Deep learning techniques for IOT security and privacy[electronic resource] /by Mohamed Abdel-Basset ... [et al.]. - Cham :Springer International Publishing :2022. - xxi, 257 p. :ill., digital ;24 cm. - Studies in computational intelligence,v. 9971860-9503 ;. - Studies in computational intelligence ;v. 216..

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$q(electronic bk.)

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

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Deep learning techniques for IOT security and privacy
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520 $a 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.
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