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001438766 001__ 1438766
001438766 003__ OCoLC
001438766 005__ 20230309004353.0
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001438766 019__ $$a1262966213$$a1263198831
001438766 020__ $$a9783030766139$$q(electronic bk.)
001438766 020__ $$a3030766136$$q(electronic bk.)
001438766 020__ $$z9783030766122
001438766 020__ $$z3030766128
001438766 0247_ $$a10.1007/978-3-030-76613-9$$2doi
001438766 035__ $$aSP(OCoLC)1263027541
001438766 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ
001438766 049__ $$aISEA
001438766 050_4 $$aTK5105.8857$$b.A5 2021
001438766 08204 $$a004.67/8$$223
001438766 24500 $$aAI-enabled threat detection and security analysis for industrial IoT /$$cHadis Karimipour, Farnaz Derakhshan, editors.
001438766 264_1 $$aCham :$$bSpringer,$$c[2021]
001438766 264_4 $$c©2021
001438766 300__ $$a1 online resource (252 pages) :$$billustrations (chiefly color)
001438766 336__ $$atext$$btxt$$2rdacontent
001438766 337__ $$acomputer$$bc$$2rdamedia
001438766 338__ $$aonline resource$$bcr$$2rdacarrier
001438766 5050_ $$aArtificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges -- Complementing IIoT Services through AI: Feasibility and Suitability -- Data Security and Privacy in Industrial IoT -- Blockchain Applications in the Industrial Internet of Things -- Application of Deep Learning on IoT-enabled Smart Grid Monitoring -- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis -- The Role of Machine Learning in IIoT Through FPGAs -- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT -- Classification and Intelligent Mining of Anomalies in Industrial IoT -- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things -- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems -- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System -- A Recurrent Attention Model for Cyber Attack Classification.
001438766 506__ $$aAccess limited to authorized users.
001438766 520__ $$aThis 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 tecniques including 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 on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.
001438766 588__ $$aDescription based on print version record.
001438766 650_0 $$aInternet of things$$xSecurity measures.
001438766 650_0 $$aComputer security.
001438766 650_0 $$aArtificial intelligence.
001438766 650_6 $$aInternet des objets$$xSécurité$$xMesures.
001438766 650_6 $$aSécurité informatique.
001438766 650_6 $$aIntelligence artificielle.
001438766 655_0 $$aElectronic books.
001438766 7001_ $$aKarimipour, Hadis,$$eeditor.
001438766 7001_ $$aDerakhshan, Farnaz,$$eeditor.
001438766 77608 $$iPrint version:$$aKarimipour, Hadis.$$tAI-Enabled Threat Detection and Security Analysis for Industrial IoT.$$dCham : Springer International Publishing AG, ©2021$$z9783030766122
001438766 852__ $$bebk
001438766 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-76613-9$$zOnline Access$$91397441.1
001438766 909CO $$ooai:library.usi.edu:1438766$$pGLOBAL_SET
001438766 980__ $$aBIB
001438766 980__ $$aEBOOK
001438766 982__ $$aEbook
001438766 983__ $$aOnline
001438766 994__ $$a92$$bISE