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

Abdel-Basset, Mohamed; Moustafa, Nour; Hawash, Hossam; Ding, Weiping

ISBN 10: 3030890244 / ISBN 13: 9783030890247

Editore: Springer, 2021

Riguardo questo articolo

Codice articolo ABLIING23Mar3113020032542

Dati bibliografici

• Titolo: Deep Learning Techniques for IoT Security and Privacy (Studies in Computational Intelligence, 997)
• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030890244
• ISBN 13: 9783030890247
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

<p>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.</p><p></p>

Dalla quarta di copertina

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.