The Internet of Things (IoT) is a network of devices and smart things that provides a pervasive environment in which people can interact with both the cyber and physical worlds. As the number and variety of connected objects continue to grow and the devices themselves become smarter, users’ expectations in terms of adaptive and self-governing digital environments are also on the rise. Although, this connectivity and the resultant smarter living is highly attractive to general public and profitable for the industry, there are also inherent concerns. The most challenging of these refer to the privacy and security of data, user trust of the digital systems, and relevant authentication mechanisms. These aspects call for novel network architectures and middleware platforms based on new communication technologies; as well as the adoption of novel context-aware management approaches and more efficient tools and devices.
In this context, this book explores central issues of privacy, security and trust with regard to the IoT environments, as well as technical solutions to help address them. The main topics covered include:
• Basic concepts, principles and related technologies
• Security/privacy of data, and trust issues
• Mechanisms for security, privacy, trust and authentication
• Success indicators, performance metrics and future directions.
This reference text is aimed at supporting a number of potential audiences, including
• Network Specialists, Hardware Engineers and Security Experts
• Students, Researchers, Academics and Practitioners.
Arvustused
The book is comprehensive in its coverage of security, privacy, and trust issues in IoT and many of its applications. It covers mathematical models and provides descriptions. It is a useful resource for knowledge seekers in the related domain. (Jawwad Shamsi, Computing Reviews, August 19, 2020)
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Part I Security and Privacy in IoT: Technologies and Frameworks |
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1 Managing Cybersecurity Risks of SCADA Networks of Critical Infrastructures in the IoT Environment |
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3 | (22) |
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2 Energy-Perceptive Authentication in Virtual Private Networks Using GPS Data |
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25 | (14) |
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3 Mitigating Threats and Vulnerabilities of RFID in IoT Through Outsourcing Computations for Public Key Cryptography |
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39 | (22) |
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4 Multidisciplinary Intel Fusion Technique for Proactive Cyber-Intelligence Model for the IoT |
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61 | (22) |
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5 Countering the IoT-Powered Volumetric Cyberattacks with Next-Generation Cyber-Firewall: Seddulbahir |
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83 | (14) |
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6 Blockchain for Ensuring Security, Privacy, and Trust in IoT Environments: The State of the Art |
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97 | (26) |
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7 A Novel Quantum Encryption and Authentication Framework Integrated with IoT |
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123 | (30) |
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Part II Privacy and Trust in IoT: Healthcare Applications and IoV |
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8 Internet of Things in the Healthcare Sector: Overview of Security and Privacy Issues |
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153 | (28) |
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9 A Comparative Study in the Application of IoT in Health Care: Data Security in Telemedicine |
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181 | (22) |
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G. A. Pramesha Chandrasiri |
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10 Trust Management for Software-Defined Heterogeneous Vehicular Ad Hoc Networks |
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203 | (24) |
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11 A Novel Privacy Preserving Scheme for Cloud-Enabled Internet of Vehicles Users |
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227 | (28) |
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12 Securing Packet Transmission Through Trusted Shortest Network Path Using Fuzzy Forecasting for Mobility of MANET Nodes |
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255 | (34) |
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| Index |
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289 | |
Prof. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and a Professor at Shijiazhuang Tiedao University in Hebei, China. He also holds positions as a Foreign Professor at the NUST and IIU in Islamabad, Pakistan. He has previously served as a Reader (Associate Professor) at the University of Derby, UK, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Among his many publications are the Springer titles Guide to Ambient Intelligence in the IoT Environment, Fog Computing, Smart Cities, Connected Environments for the Internet of Things, Software Project Management for Distributed Computing, Requirements Engineering for Service and Cloud Computing, Connectivity Frameworks for Smart Devices, Data Science and Big Data Computing, Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.
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