Abstract
Evolution of ultra-fast and reliable communication infrastructures have opened up new possibilities of applications in many industries, including urban transport systems. As the number of interconnected vehicles grows, new requirements for vehicular networks emerge. The original notion of vehicular ad-hoc networks (VANET) is morphing into a new concept known as the Internet of Vehicles (IoV). In this chapter, various challenges of secure automotive system design in the context of IoV and latest industry standards are discussed. One of the focus is naturally on the Autonomous Vehicle (AV). After reviewing various communication protocols for the smooth operations of IoV the privacy and security challenges are outlined. The known vulnerabilities in an IoV are identified and classified. To obtain a robust IoV infrastructure, various techniques originating from cryptography are being deployed. The chapter is concluded with an overview of such security measures.
Original language | English |
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Title of host publication | Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems |
Editors | Vipin Kumar Kukkala, Sudeep Pasricha |
Pages | 257-287 |
Number of pages | 31 |
Edition | 1 |
ISBN (Electronic) | 9783031280160 |
DOIs | |
Publication status | Published - 27 Mar 2023 |
Keywords
- Analysis
- Design thinking
- Post-quantum cryptography
- Security models
- Security protocols
- Simulation
- Trust management
- Vehicle standards