Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)
portes grátis
Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)
Gupta, Brij B.; Agrawal, Dharma P.; Li, Kuan-Ching
Taylor & Francis Ltd
08/2022
276
Mole
Inglês
9780367685027
15 a 20 dias
498
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
IoT Device;TCP;Intrusion Detection;NSL;IoT Application;Cps;IoT System;Ransomware Attacks;Anomaly Detection;Network Intrusion Detection;Network Flows;IoT Platform;LOF;Data Set;cybersecurity;Machine Learning Models;cybercrime;SVM;cloud computing;Supervised Machine Learning;embedded systems;Network Traffic;biometrics;Machine Learning;mobile computing;Machine Learning Algorithms;CPS healthcare;IoT Network;Network security systems;DoS Attack;Fog Computing;Internet of Things;PUF;Cyber-physical systems;Spark Streaming
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
IoT Device;TCP;Intrusion Detection;NSL;IoT Application;Cps;IoT System;Ransomware Attacks;Anomaly Detection;Network Intrusion Detection;Network Flows;IoT Platform;LOF;Data Set;cybersecurity;Machine Learning Models;cybercrime;SVM;cloud computing;Supervised Machine Learning;embedded systems;Network Traffic;biometrics;Machine Learning;mobile computing;Machine Learning Algorithms;CPS healthcare;IoT Network;Network security systems;DoS Attack;Fog Computing;Internet of Things;PUF;Cyber-physical systems;Spark Streaming
