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

by Mohamed Abdel-Basset, Nour Moustafa Abdelhameed Moustafa, Hossam Hawash, and Weiping Ding

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Book cover for Deep Learning Techniques for IoT Security and Privacy

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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.

  • ISBN13 9783030890247
  • Publish Date 6 December 2021
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2022
  • Format Hardcover
  • Pages 257
  • Language English