David Förster examines privacy protection for vehicular communication under the assumption of an attacker that is able to compromise back-end systems – motivated by the large number of recent security incidents and revelations about mass surveillance. The author aims for verifiable privacy protection enforced through cryptographic and technical means, which safeguards user data even if back-end systems are not fully trusted. Förster applies advanced cryptographic concepts, such as anonymous credentials, and introduces a novel decentralized secret sharing algorithm to fulfill complex and seemingly contradicting requirements in several vehicle-to-x application scenarios. Many of the concepts and results can also be applied to other flavors of internet of things systems.

Intro -- Acknowledgments -- Contents -- Preface -- Chapter 1. Introduction -- Chapter 2. Applications and Use Cases -- Chapter 3. V2X Requirements, Standards, and Regulations -- Chapter 4. Technologies -- Chapter 5. V2X networking and connectivity -- Chapter 6. Infotainment -- Chapter 7. Software Reconfiguration -- Chapter 8. Outlook -- Appendix A -- Index

Provides an up-to-date, in-depth look at the current research, design, and implementation of cooperative vehicle safety communication protocols and technology Improving traffic safety has been a top concern for transportation agencies around the world and the focus of heavy research and development efforts sponsored by both governments and private industries. Cooperative vehicle systems—which use sensors and wireless technologies to reduce traffic accidents—can play a major role in making the world's roads safer. Vehicle Safety Communications: Protocols, Security, and Privacy describes fundamental issues in cooperative vehicle safety and recent advances in technologies for enabling cooperative vehicle safety. It gives an overview of traditional vehicle safety issues, the evolution of vehicle safety technologies, and the need for cooperative systems where vehicles work together to reduce the number of crashes or mitigate damage when crashes become unavoidable. Authored by two top industry professionals, the book: Summarizes the history and current status of 5.9 GHz Dedicated Short Range Communications (DSRC) technology and standardization, discussing key issues in applying DSRC to support cooperative vehicle safety Features an in-depth overview of on-board equipment (OBE) and roadside equipment (RSE) by describing sample designs to illustrate the key issues and potential solutions Takes on security and privacy protection requirements and challenges, including how to design privacy-preserving digital certificate management systems and how to evict misbehaving vehicles Includes coverage of vehicle-to-infrastructure (V2I) communications like intersection collision avoidance applications and vehicle-to-vehicle (V2V) communications like extended electronic brake lights and intersection movement assist Vehicle Safety Communications is ideal for anyone working in the areas of—or studying—cooperative vehicle safety and vehicle communications.

Artificial Intelligence (AI) and Machine Learning (ML) are set to revolutionize all industries, and the Intelligent Transportation Systems (ITS) field is no exception. While ML, especially deep learning models, achieve great performance in terms of accuracy, the outcomes provided are not amenable to human scrutiny and can hardly be explained. This can be very problematic, especially for systems of a safety-critical nature such as transportation systems. Explainable AI (XAI) methods have been proposed to tackle this issue by producing human interpretable representations of machine learning models while maintaining performance. These methods hold the potential to increase public acceptance and trust in AI-based ITS. FEATURES: Provides the necessary background for newcomers to the field (both academics and interested practitioners) Presents a timely snapshot of explainable and interpretable models in ITS applications Discusses ethical, societal, and legal implications of adopting XAI in the context of ITS Identifies future research directions and open problems

Most innovations in the car industry are based on software and electronics, and IT will soon constitute the major production cost factor. It seems almost certain that embedded IT security will be crucial for the next generation of applications. Yet whereas software safety has become a relatively well-established field, the protection of automotive IT systems against manipulation or intrusion has only recently started to emerge. Lemke, Paar, and Wolf collect in this volume a state-of-the-art overview on all aspects relevant for IT security in automotive applications. After an introductory chapter written by the editors themselves, the contributions from experienced experts of different disciplines are structured into three parts. "Security in the Automotive Domain" describes applications for which IT security is crucial, like immobilizers, tachographs, and software updates. "Embedded Security Technologies" details security technologies relevant for automotive applications, e.g., symmetric and asymmetric cryptography, and wireless security. "Business Aspects of IT Systems in Cars" shows the need for embedded security in novel applications like location-based navigation systems and personalization. The first book in this area of fast-growing economic and scientific importance, it is indispensable for both researchers in software or embedded security and professionals in the automotive industry.

This book constitutes the refereed proceedings of the 12th International Symposium, ISICA 2021, held in Guangzhou, China, during November 19–21, 2021. The 48 full papers included in this book were carefully reviewed and selected from 99 submissions. They were organized in topical sections as follows: new frontier of multi-objective evolutionary algorithms; intelligent multi-media; data modeling and application of artificial intelligence; exploration of novel intelligent optimization algorithm; and intelligent application of industrial production.