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Deep Learning Techniques for IoT Security and Privacy

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Deep Learning Techniques for IoT Security and Privacy 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.

About This Edition

ISBN: 9783030890278
Publication date:
Author: Mohamed AbdelBasset, Nour Moustafa, Hossam Hawash, Weiping Ding
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 257 pages
Series: Studies in Computational Intelligence
Genres: Databases
Artificial intelligence