Mohamed Abdel-Basset,Nour Moustafa,Hossam Hawash,Weiping Ding
Deep Learning Techniques for IoT Security and Privacy
Deep Learning Techniques for IoT Security and Privacy
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- More about Deep Learning Techniques for IoT Security and Privacy
This book provides a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. It is intended for readers with familiarity with IoT and basic knowledge of machine learning and deep learning.
Format: Hardback
Length: 257 pages
Publication date: 06 December 2021
Publisher: Springer Nature Switzerland AG
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.
Weight: 588g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030890247
Edition number: 1st ed. 2022
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