Deep Learning Techniques for IoT Security and Privacy

Faculty Computer Science Year: 2021
Type of Publication: ZU Hosted Pages:
Authors:
Journal: 1st Edition Springer Volume:
Keywords : Deep Learning Techniques , , Security , Privacy    
Abstract:
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.
   
     
 
       

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