Deep Learning Techniques For Iot Security And Privacy (Studies In Computational Intelligence)

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.

• | Author: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
• | Publisher: Springer
• | Publication Date: Dec 07, 2022
• | Number of Pages: 280 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 3030890279
• | ISBN-13: 9783030890278