Modern Approaches in IoT and Machine Learning for Cyber Security

Modern Approaches in IoT and Machine Learning for Cyber Security
Author :
Publisher : Springer Nature
Total Pages : 415
Release :
ISBN-10 : 9783031099557
ISBN-13 : 3031099559
Rating : 4/5 (57 Downloads)

Book Synopsis Modern Approaches in IoT and Machine Learning for Cyber Security by : Vinit Kumar Gunjan

Download or read book Modern Approaches in IoT and Machine Learning for Cyber Security written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2024-01-08 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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