Modern Approaches in IoT and Machine Learning for Cyber Security

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Éditeur :

Springer


Paru le : 2023-12-07

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Description

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.
Pages
417 pages
Collection
n.c
Parution
2023-12-07
Marque
Springer
EAN papier
9783031099540
EAN PDF
9783031099557

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
19016 Ko
Prix
158,24 €
EAN EPUB
9783031099557

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
37642 Ko
Prix
158,24 €

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