Deep Learning Techniques for IoT Security and Privacy by Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash & Weiping Ding

Deep Learning Techniques for IoT Security and Privacy

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  • Genre Computers & Internet
  • Publisher Springer Nature
  • Released
  • Size 28.20 MB
  • Length 273 Pages

Description

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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