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Название: AI-Enabled Threat Detection and Security Analysis for Industrial IoT
Год: 2021
Издатель: Springer
Язык: english
Кол-во страниц: 224
Формат: PDF
Описание:
This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications.
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Название: AI-Enabled Threat Detection and Security Analysis for Industrial IoT
Год: 2021
Издатель: Springer
Язык: english
Кол-во страниц: 224
Формат: PDF
Описание:
This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications.
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