Modern Approaches in IoT and Machine Learning for Cyber Security

£139.50

Modern Approaches in IoT and Machine Learning for Cyber Security

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Cybernetics and systems theory Electronics engineering Communications engineering / telecommunications Databases Computer security Network security

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Collection: Internet of Things

Language: English

Published by: Springer

Published on: 7th December 2023

Format: LCP-protected ePub

ISBN: 9783031099557


Overview

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.

Authors and Content

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.

Intended Audience

This book is applicable for researchers and professionals in cyber security, AI, and IoT.

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