Recent advances in security, privacy and trust for Internet-of-Things (IoT) and cyber-physical systems (CPS) /
Recent advances in security, privacy and trust for Internet-of-Things (IoT) and cyber-physical systems (CPS) /
edited by Kuan-Ching Li, Brij B. Gupta, and Dharma P. Agrawal.
- First edition.
- xiv, 275 pages : illustrations ; 25 cm.
Includes bibliographical references and index.
An overview of the integration between cloud computing and internet of things (IoT) technologies -- Cyber-physical systems in healthcare: review of architecture, security issues, intrusion detection, and defenses -- The future of privacy and trust on the internet of things (IoT) for healthcare: concepts, challenges and security threats mitigations -- Toward the detection and mitigation of ransomware attacks in medical cyber-physical systems (MCPSs) -- Security challenges and requirements for industrial IoT systems -- Network intrusion detection with XGBoost -- Anomaly detection on encrypted and high-performance data networks by means of machine learning techniques -- Deep learning for network intrusion detection: an empirical assessment -- SPATIO: end-uSer protection against IoT IntrusiOns -- Low power physical layer security solutions for IoT devices -- Some research issues of harmful and violent content filtering for social networks in the context of large-scale and streaming data with apache spark.
9780367685027
Internet of things--Security measures.
Cooperating objects (Computer systems)--Security measures.
TK5105.8857 / .R43 2021
005.8 / R243
Includes bibliographical references and index.
An overview of the integration between cloud computing and internet of things (IoT) technologies -- Cyber-physical systems in healthcare: review of architecture, security issues, intrusion detection, and defenses -- The future of privacy and trust on the internet of things (IoT) for healthcare: concepts, challenges and security threats mitigations -- Toward the detection and mitigation of ransomware attacks in medical cyber-physical systems (MCPSs) -- Security challenges and requirements for industrial IoT systems -- Network intrusion detection with XGBoost -- Anomaly detection on encrypted and high-performance data networks by means of machine learning techniques -- Deep learning for network intrusion detection: an empirical assessment -- SPATIO: end-uSer protection against IoT IntrusiOns -- Low power physical layer security solutions for IoT devices -- Some research issues of harmful and violent content filtering for social networks in the context of large-scale and streaming data with apache spark.
9780367685027
Internet of things--Security measures.
Cooperating objects (Computer systems)--Security measures.
TK5105.8857 / .R43 2021
005.8 / R243