Modern Approaches in IoT and Machine Learning for Cyber Security: Latest Trends in AI (1st ed. 2024) (Internet of Things)

By: Vinit Kumar Gunjan and Mohd Dilshad Ansari and Mohammed Usman and ThiDieuLinh Nguyen

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Synopsis: This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

Book Quality:: Publisher Quality
ISBN-13:: 9783031099557
Related ISBNs:: 9783031099540
Publisher:: Springer International Publishing
Date of Addition:: 01/08/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Vinit Kumar Gunjan
Edited by:: Mohd Dilshad Ansari
Edited by:: Mohammed Usman
Edited by:: ThiDieuLinh Nguyen