Deep Learning Techniques for IoT Security and Privacy (Bog, Paperback / softback, Engelsk) af Mohamed Abdel-Basset
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Deep Learning Techniques for IoT Security and Privacy

(Bog, Paperback / softback, Engelsk)
Forfattere: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
Deep Learning Techniques for IoT Security and Privacy
Forlag: Springer Nature Switzerland AG

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Beskrivelse

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.

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Alle detaljer

Forlag Springer Nature Switzerland AG
Forfattere Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
Type Bog
Format Paperback / softback
Sprog Engelsk
Udgave 2022 ed.
Udgivelsesdato 07-12-2022
Første udgivelsesår 2022
Serie Studies in Computational Intelligence
Illustrationer 69 Illustrations, color; 2 Illustrations, black and white; XXI, 257 p. 71 illus., 69 illus. in color.
Originalsprog Switzerland
Sideantal 257
Indbinding Paperback / softback
Forlag Springer Nature Switzerland AG
Sideoplysninger 257 pages, 69 Illustrations, color; 2 Illustrations, black and white; XXI, 257 p. 71 illus., 69 illu
Mål 235 x 155
ISBN-13 / EAN-13 9783030890278