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

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

ISBN 10: 3030890279 / ISBN 13: 9783030890278

Published by Springer, 2022

About this Item

278 pages. 9.25x6.10x0.75 inches. In Stock.

Seller Inventory # x-3030890279

Bibliographic Details

• Title: Deep Learning Techniques for IoT Security and Privacy: 997 (Studies in Computational Intelligence, 997)
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030890279
• ISBN 13: 9783030890278
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.