Description: Deep Learning Techniques for IoT Security and Privacy Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030890247, 978-3030890247 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.
Price: 111.96 GBP
Location: Aldershot
End Time: 2024-11-26T08:50:16.000Z
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Book Title: Deep Learning Techniques for IoT Security and Privacy
Item Height: 235 mm
Item Width: 155 mm
Series: Studies in Computational Intelligence
Author: Nour Moustafa Abdelhameed Moustafa, Weiping Ding, Hossam Hawash, Mohamed Abdel-Basset
Publication Name: Deep Learning Techniques for Iot Security and Privacy
Format: Hardcover
Language: English
Publisher: Springer Nature Switzerland A&G
Subject: Engineering & Technology, Computer Science
Publication Year: 2022
Type: Textbook
Number of Pages: 312 Pages
