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

By James J. Solberg

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.

• Format: Paperback
• Language: English
• ISBN: 3030890279
• ISBN13: 9783030890278
• Release Date: December 2022
• Publisher: Springer
• Length: 257 Pages
• Weight: 0.87 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"