AI-Enabled Threat Detection and Security Analysis for Industrial IoT

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

المؤلف
Hadis Karimipour, Farnaz Derakhshan
سنة النشر
2021
الناشر
Springer
لغة الملف
انكليزي
نوع الملف
Book
تصنيف الكتاب
Computer Science

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.


الكلمات المفتاحية: Internet of Things / Mobile and Network Security / Cyber-Physical Systems / Artificial intelligence / Machine Learning / Industry 4.0 / Industrial Internet of Things / Cyber-physical system / Cybersecurity / Threat intelligence / Machine learning / Intrusion detection / Anomaly detection / Attack identification / Attack prevention / Artificial intelligent / Deep learning/ Smart grid