Security, privacy, and trust in the Internet of Things (IoT) and CPS (Cyber-Physical Systems) are different from conventional security as concerns revolve around the collection and aggregation of data or transmission of data over the network. Analysis of cyber-attack vectors and the provision of appropriate mitigation techniques are essential research areas for these systems. Adoption of best practices and maintaining a balance between ease of use and security are, again, crucial for the effective performance of these systems.
Recent Advances in Security, Privacy and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS) discusses and presents techniques and methodologies, as well as 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.
- Introduces new directions for research, development, and engineering security, privacy, and trust of IoT and CPS
- Includes a wealth of examples and illustrations to effectively demonstrate the principles, algorithms, challenges, and applications
- Covers most of the important security aspects and current trends not present in other reference books
This book will also serve as an excellent reference in security, privacy, and trust of IoT and CPS for professionals in this fast-evolving and critical field. The chapters present high-quality contributions from researchers, academics, and practitioners from various national and international organizations and universities.
Table of Contents
Chapter 1 An Overview of the Integration between Cloud Computing and Internet of Things (IoT) Technologies
Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur and Yuzo Iano
Chapter 2 Cyber-Physical Systems in Healthcare: Review of Architecture, Security Issues, Intrusion Detection, and Defenses
Robinson Raju and Melody moh
Chapter 3 The Future of Privacy and Trust on the Internet of Things (IoT) for Healthcare: Concepts, Challenges, and Security Threat Mitigations
Anastasios N. Bikos and Nicolas Sklavos
Chapter 4 Toward the Detection and Mitigation of Ransomware Attacks in Medical Cyber-Physical Systems (MCPSs)
Alberto Huertas Celdrán, Félix J. García Clemente and Gregorio Martinez Perez
Chapter 5 Security Challenges and Requirements for Industrial IoT Systems
Valentin Vallois, Ahmed Mehaoua and Fouad Amine Guenane
Chapter 6 Network Intrusion Detection with XGBoost
Arnaldo Gouveia and Miguel Correia
Chapter 7 Anomaly Detection on Encrypted and High-Performance Data Networks by Means of Machine Learning Techniques
Lorenzo Fernandez Maimo, Alberto Huertas Celdrán and Félix J. García Clemente
Chapter 8 Deep Learning for Network Intrusion Detection: An Empirical Assessment
Arnaldo Gouveia and Miguel Correia
Chapter 9 SPATIO: end-uSer Protection Against IoT IntrusiOns
Gil Mouta, Miguel L. Pardal, João Bota and Miguel Correia
Chapter 10 Low Power Physical Layer Security Solutions for IoT Devices
Chithraja Rajan, Dheeraj Sharma, Dip Prakash Samajdar and Jyoti Patel
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
Phuc Do, Phu Pham and Trung Phan
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.