Abderrahim Benslimane

As we move deeper into the era of hyperconnectivity, the convergence of blockchain, 5G, artificial intelligence (AI), and the Internet of Things (IoT) is redefining the digital frontier. Blockchain and AI Amalgamation for IoT Applications Beyond 5G presents a comprehensive and forward-looking exploration of this intersection, offering readers a roadmap toward secure, intelligent, and decentralized networks of the future. The volume brings together 16 carefully curated chapters that move seamlessly from foundational principles to advanced integrations and real-world implementations. Readers will learn how blockchain enhances privacy, data integrity, and decentralized control across 5G-IoT ecosystems, while AI augments these networks with adaptive intelligence and predictive security. Case studies and prototypes illustrate successful deployments, demonstrating how emerging technologies can be applied in practice. Specialized discussions highlight protocols for the internet of vehicles, secure cloud paradigms, VPNs, and even novel travel security applications. The book also explores Blockchain’s transformative role in emerging digital realms such as finance, the metaverse, and beyond. With contributions from leading researchers and practitioners, this book serves as an essential resource for academics, engineers, policymakers, and industry professionals. Whether the reader is designing intelligent edge devices or architecting large-scale IoT infrastructures, the content equips them with the knowledge and tools to innovate securely and sustainably.

Intelligent and Connected Vehicles (ICVs) are moving into the mainstream of the worldwide automotive industry. A lot of advanced technologies, like artificial intelligence, big data, millimeter wave radar, LiDAR and high-definition camera based real-time environmental perception, etc., are increasingly being applied in ICVs, making them more intelligent and connected with devices surrounding the vehicles. However, although the versatile connection and information exchange among ICVs, external devices and human beings provides vehicles with a better and faster perception of surrounding environments and a better driving experience for users, they also create a series of intrusion portals for malicious attackers which threaten the safety of drivers and passengers. This book is concerned with the recognition and protection against such threats. Security for ICVs includes information across the fields of automobile engineering, artificial intelligence, computer, microelectronics, automatic control, communication technology, big data, edge/cloud computing and others. This book comprehensively and systematically introduces security threats to ICVs coming from automotive technology development, on-board sensors, vehicle networking, automobile communications, intelligent transportation, big data, cloud computing, etc. Then, through discussion of some typical automobile cyber-attack cases studies, readers will gain a deeper understanding of the working principle of ICVs, so that they can test vehicles more objectively and scientifically. In this way they will find the existence of vulnerabilities and security risks and take the corresponding protective measures to prevent malicious attacks.

Intelligent and Connected Vehicles (ICVs) are moving into the mainstream of the worldwide automotive industry. A lot of advanced technologies, like artificial intelligence, big data, millimeter wave radar, LiDAR and high-definition camera based real-time environmental perception, etc., are increasingly being applied in ICVs, making them more intelligent and connected with devices surrounding the vehicles. However, although the versatile connection and information exchange among ICVs, external devices and human beings provides vehicles with a better and faster perception of surrounding environments and a better driving experience for users, they also create a series of intrusion portals for malicious attackers which threaten the safety of drivers and passengers. This book is concerned with the recognition and protection against such threats. Security for ICVs includes information across the fields of automobile engineering, artificial intelligence, computer, microelectronics, automatic control, communication technology, big data, edge/cloud computing and others. This book comprehensively and systematically introduces security threats to ICVs coming from automotive technology development, on-board sensors, vehicle networking, automobile communications, intelligent transportation, big data, cloud computing, etc. Then, through discussion of some typical automobile cyber-attack cases studies, readers will gain a deeper understanding of the working principle of ICVs, so that they can test vehicles more objectively and scientifically. In this way they will find the existence of vulnerabilities and security risks and take the corresponding protective measures to prevent malicious attacks.