Wow! eBook
Deep Learning Techniques for IoT Security and Privacy: 997 1st ed. 2022 Edition
Author(s): Mohamed Abdel-Basset (Author), Nour Moustafa (Author), Hossam Hawash (Author), Weiping Ding (Author)
- Publisher: Springer
- Publication Date: 7 Dec. 2022
- Edition: 1st ed. 2022
- Language: English
- Print length: 278 pages
- ISBN-10: 3030890279
- ISBN-13: 9783030890278
Book Description
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.
Editorial Reviews
From the Back Cover
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.
