Deep Learning Techniques for IoT Security and Privacy

£139.50

Deep Learning Techniques for IoT Security and Privacy

Databases Artificial intelligence

Authors: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 5th December 2021

Format: LCP-protected ePub

Size: 27 Mb

ISBN: 9783030890254


Target Audience

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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