bokomslag Deep Learning Techniques for IoT Security and Privacy
Data & IT

Deep Learning Techniques for IoT Security and Privacy

Mohamed Abdel-Basset Nour Moustafa Hossam Hawash Weiping Ding

Pocket

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Andra format:

  • 257 sidor
  • 2022
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.
  • Författare: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
  • Format: Pocket/Paperback
  • ISBN: 9783030890278
  • Språk: Engelska
  • Antal sidor: 257
  • Utgivningsdatum: 2022-12-07
  • Förlag: Springer Nature Switzerland AG