| 期刊全称 | AI-Enabled Threat Detection and Security Analysis for Industrial IoT | | 影响因子2023 | Hadis Karimipour,Farnaz Derakhshan | | 视频video | http://file.papertrans.cn/143/142850/142850.mp4 | | 发行地址 | Discusses anomaly detection, defensive mechanisms in critical IoT-enabled industries and cybersecurity concepts.Presents emerging IoT-enabled CPSs such as precision agriculture and investigating their | | 图书封面 |  | | 影响因子 | 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. .Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniquesincluding deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well.. .Researchers and professionals working in computer security with an emphasis | | Pindex | Book 2021 |
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