Deep Learning Techniques for IoT Security and Privacy

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. Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $50.70 (Expires Jul 15, 2024) 60 Day Rental: $67.60 (Expires Aug 14, 2024) 90 Day Rental: $84.50 (Expires Sep 13, 2024) 120 Day Rental: $101.40 (Expires Oct 13, 2024) 180 Day Rental: $109.85 (Expires Dec 12, 2024) Buy eBook Lifetime Access: $169.00 Title: Deep Learning Techniques for Iot Security and Privacy by Mohamed Abdel-Basset; Nour Moustafa; Hossam Hawash; Weiping Ding Publisher: Springer Nature Print ISBN: 9783030890247, 3030890244 eText ISBN: 9783030890254 Edition: 2021 Format: EPUB eBook	$50.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ