Название: Deep Learning Techniques for IoT Security and PrivacyАвтор: Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash, Weiping Ding
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 487
Размер: 10 Mb
Язык: English
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.