Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997)

✍ Scribed by Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 278
Edition: 1st ed. 2022
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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