Visible to the public Secure Information Sharing among Autonomous Vehicles in NDN

TitleSecure Information Sharing among Autonomous Vehicles in NDN
Publication TypeConference Paper
Year of Publication2017
AuthorsChowdhury, M., Gawande, A., Wang, L.
Conference Name2017 IEEE/ACM Second International Conference on Internet-of-Things Design and Implementation (IoTDI)
Date PublishedApril 2017
ISBN Number 978-1-4503-4966-6
KeywordsAccidents, Autonomous vehicles, autonomous vehicular network, cyber physical systems, data delivery, Data models, Data security, Human Behavior, human factors, Internet, Internet architecture, Internet of Vehicles, IP networks, Metrics, mobile ad-hoc environment, Mobile communication, named data networking, NDN, pseudonym scheme, pubcrawl, Raspberry Pi, Resiliency, robust decisions, secure data sharing, secure information sharing, security, telecommunication security, vehicle names, vehicle tracking, vehicular ad hoc networks, vehicular data authentication, wireless environment

Autonomous vehicles must communicate with each other effectively and securely to make robust decisions. However, today's Internet falls short in supporting efficient data delivery and strong data security, especially in a mobile ad-hoc environment. Named Data Networking (NDN), a new data-centric Internet architecture, provides a better foundation for secure data sharing among autonomous vehicles. We examine two potential threats, false data dissemination and vehicle tracking, in an NDN-based autonomous vehicular network. To detect false data, we propose a four-level hierarchical trust model and the associated naming scheme for vehicular data authentication. Moreover, we address vehicle tracking concerns using a pseudonym scheme to anonymize vehicle names and certificate issuing proxies to further protect vehicle identity. Finally, we implemented and evaluated our AutoNDN application on Raspberry Pi-based mini cars in a wireless environment.

Citation Keychowdhury_secure_2017