Recent Advances in Security, Privacy and Trust for Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) will discuss and present techniques and methodologies as well a wide range of examples and illustrations to effectively show the principles, algorithms, challenges, and applications of security, privacy, and trust for IoT and CPS.
Recent Advances in Security, Privacy and Trust for Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) will discuss and present techniques and methodologies as well a wide range of examples and illustrations to effectively show the principles, algorithms, challenges, and applications of security, privacy, and trust for IoT and CPS.
Kuan-Ching Li is a Professor in the Dept. of Computer Science and Information Engineering at Providence University, Taiwan; Brij B. Gupta is affiliated with the National Institute of Technology Kurukshetra, Haryana, India; Dharma P. Agrawal is OBR Distinguished Professor at t he University of Cincinnati.
Inhaltsangabe
Preface. Acknowledgment. Contributors. Chapter 1 An Overview of the Integration between Cloud Computing and Internet of Things (IoT) Technologies. Chapter 2 Cyber-Physical Systems in Healthcare: Review of Architecture, Security Issues, Intrusion Detection, and Defenses. Chapter 3 The Future of Privacy and Trust on the Internet of Things (IoT) for Healthcare: Concepts, Challenges, and Security Threat Mitigations. Chapter 4 Toward the Detection and Mitigation of Ransomware Attacks in Medical Cyber-Physical Systems (MCPSs). Chapter 5 Security Challenges and Requirements for Industrial IoT Systems. Chapter 6 Network Intrusion Detection with XGBoost. Chapter 7 Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques. Chapter 8 Deep Learning for Network Intrusion Detection: An Empirical Assessment. Chapter 9 SPATIO: end-uSer Protection Against IoT IntrusiOns. Chapter 10 Low Power Physical Layer Security Solutions for IoT Devices. Chapter 11 Some Research Issues of Harmful and Violent Content Filtering for Social Networks in the Context of Large-Scale and Streaming Data with Apache Spark. Index.
Preface. Acknowledgment. Contributors. Chapter 1 An Overview of the Integration between Cloud Computing and Internet of Things (IoT) Technologies. Chapter 2 Cyber-Physical Systems in Healthcare: Review of Architecture, Security Issues, Intrusion Detection, and Defenses. Chapter 3 The Future of Privacy and Trust on the Internet of Things (IoT) for Healthcare: Concepts, Challenges, and Security Threat Mitigations. Chapter 4 Toward the Detection and Mitigation of Ransomware Attacks in Medical Cyber-Physical Systems (MCPSs). Chapter 5 Security Challenges and Requirements for Industrial IoT Systems. Chapter 6 Network Intrusion Detection with XGBoost. Chapter 7 Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques. Chapter 8 Deep Learning for Network Intrusion Detection: An Empirical Assessment. Chapter 9 SPATIO: end-uSer Protection Against IoT IntrusiOns. Chapter 10 Low Power Physical Layer Security Solutions for IoT Devices. Chapter 11 Some Research Issues of Harmful and Violent Content Filtering for Social Networks in the Context of Large-Scale and Streaming Data with Apache Spark. Index.
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