Home / Deep Learning Techniques for IoT Security and Privacy
Deep Learning Techniques for IoT Security and Privacy
By Mohamed Abdel-Basset
- Release Date: 2021-12-05
- Genre: Computers & Internet
- $139.99
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.
More by Mohamed Abdel-Basset
Artificial Intelligence Techniques in IoT Sensor Networks
Mohamed Elhoseny, K Shankar & Mohamed Abdel-Basset
Multi-Criteria Decision-Making for Renewable Energy
Mohamed Abdel-Basset, Mohamed Elhoseny, Abduallah Gamal & Md Alamgir Hossain
Metaheuristics Algorithms for Medical Applications
Mohamed Abdel-Basset, Reda Mohamed & Mohamed Elhoseny
Neutrosophic Operational Research
Florentin Smarandache & Mohamed Abdel-Basset
Deep Learning Techniques for IoT Security and Privacy
Mohamed Abdel-Basset, Nour Moustafa, Hossam Hawash & Weiping Ding
Artificial Intelligence Applications for Smart Societies
Mohamed Elhoseny, K. Shankar & Mohamed Abdel-Basset
Artificial Intelligence and Internet of Things in Smart Farming
Mohamed Abdel-Basset, Hossam Hawash & Laila Abdel-Fatah
Deep Learning Approaches for Security Threats in IoT Environments
Mohamed Abdel-Basset, Nour Moustafa & Hossam Hawash
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19
Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green & Gary Wills
Optimization Theory Based on Neutrosophic and Plithogenic Sets
Florentin Smarandache & Mohamed Abdel-Basset
