Security, Trust and Privacy Models, and Architectures in IoT Environments / edited by Lidia Fotia, Fabrizio Messina, Domenico Rosaci, Giuseppe M.L. Sarné.

Format:

Book

Contributor:

Fotia, Lidia, editor.

Series:

Internet of Things, Technology, Communications and Computing, 2199-1081

Language:

English

Subjects (All):

Telecommunication.

Cooperating objects (Computer systems).

Data protection.

Communications Engineering, Networks.

Cyber-Physical Systems.

Data and Information Security.

Local Subjects:

Communications Engineering, Networks.

Cyber-Physical Systems.

Data and Information Security.

Physical Description:

1 online resource (X, 178 p. 70 illus., 52 illus. in color.)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

This book is dedicated to the issues of security, trust and privacy models, and architectures in IoT environments. The authors aim to capture the latest research and contributions from academy, industry, and other stakeholders on new security models, architectures, protocols, and standards for ensuring security, privacy, and trustworthiness to IoT systems. The authors discuss the convergence of IoT, software agents, and edge computing to introduce social features into IoT systems, combining trustworthiness and reputation information collected by agents at the edge with security and privacy mechanisms. They also cover experimental and simulated campaigns that evaluate strategies to improve the security and privacy of the IoT world, and at the same time the ability to prevent and deter deceptive behaviors. The book is relevant for researchers, professionals, academics, and students. Covers the issues of security, trust and privacy models, reputation, and architectures in IoTenvironments; Includes IoT security applications in different domains to offer services for smart home and cities, smart grid, smart community, e-Commerce, and many others; Presents positioning of software agent technologies and the integration of edge computing to help tackle security issues in IoT.

Contents:

Chapter 1. IoT Network administration by intelligent decision support based on combined neural networks

Chapter 2. A Novel Privacy-Preserving Framework based on Blockchain Technology to Secure Industrial IoT Data

Chapter 3. Detecting Collusive Agents by Trust Measures in Social IoT Environments: A Novel Reputation Model

Chapter 4. An Adaptive Blurring Routing Protocol for Delay Tolerant Networks in IoT Environments

Chapter 5. Modeling and Detection of Denial-of-Sleep Attacks on Autonomous IoT Devices in Wireless Sensor Networks

Chapter 6. Machine learning methologies for preventing malware obfuscation

Chapter 7. Formation of Reliable Composite Teams for Collaborative Environmental Surveillance of Ecosystems

Chapter 8. Accountability of IoT devices

Chapter 9. Digital twin through physical assets tokenization in blockchain

Chapter 10. Security in Home Automation.

Notes:

Includes index.

ISBN:

3-031-21940-6