Deep Learning Techniques for IoT Security and Privacy
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Beschreibung
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.
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.
Presents a Machine Learning Approach to Conducting Digital Forensics Contains state-of-the-art research and shows how to teach hands-on incident response and digital forensic courses Covers the applications of digital forensics and artificial intelligence in operating systems
Autor*in
Mohamed Abdel-Basset
Themen in »Deep Learning Techniques for IoT Security and Privacy«
Cyber Forensics Digital Forensic Education Digital Forensics Virtual Machines Forensics Social Media Forensics