Deep Learning Techniques for IoT Security and Privacy
| Author | : Mohamed Abdel-Basset |
| Publisher | : Springer Nature |
| Total Pages | : 273 |
| Release | : 2021-12-05 |
| ISBN-10 | : 9783030890254 |
| ISBN-13 | : 3030890252 |
| Rating | : 4/5 (252 Downloads) |
Book Synopsis Deep Learning Techniques for IoT Security and Privacy by : Mohamed Abdel-Basset
Download or read book Deep Learning Techniques for IoT Security and Privacy written by Mohamed Abdel-Basset and published by Springer Nature. This book was released on 2021-12-05 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
