PRIVACY AND SECURITY IN AUTONOMOUS VEHICLE NETWORKS

Abstract

With the increasing number of laud self-driving cars on the roads, these cars are expected to be fitted with sensors and cameras, as well as communication interfaces to share information in order to better co-ordinate themselves, and avoid traffic accidents. However, integrating of self-driving cars in networks also entails great risks to privacy and security. The goal of this study would be to evaluate the privacy and cybersecurity concerns related to the connected car systems, and offer recommendations for ethical big data management, as well as technological and regulatory measures. Areas that would require focus would be on the data acquisition policies, risk of cyber threats including hacking and ransom ware, the choice of privacy preserving technologies and frameworks, the legal regime and issues of liability, and policies on disclosure of vulnerabilities if any. Privacy, especially personal privacy, and system security will be vital to gain users’ trust and thus popularize this new technology that holds the potential to revolutionize transportation operations by enhancing mobility, productivity, and safety. Such recommendations are useful for furthering the industry and government practice to incorporate autonomous vehicle infrastructure while ensuring adequate measures for security are put in place.