Visible to the public Trusted Autonomous Vehicle: Measuring Trust using On-Board Unit Data

TitleTrusted Autonomous Vehicle: Measuring Trust using On-Board Unit Data
Publication TypeConference Paper
Year of Publication2019
AuthorsChowdhury, Abdullahi, Karmakar, Gour, Kamruzzaman, Joarder
Conference Name2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
Date PublishedAug. 2019
ISBN Number978-1-7281-2777-4
KeywordsAutonomous automobiles, autonomous vehicle, AV, different OBU components, Driverless Car, extremely dynamic topographical conditions, false information, false trust, Global Positioning System, GPS data, Intelligent Transportation System, measuring trust, misleading information, On Board Unit, on-board unit components, on-board unit data, policy-based governance, Policy-Governed Secure Collaboration, pubcrawl, realistic traffic data, reliability, resilience, Resiliency, road accidents, road safety, road traffic, Roads, safe transportation, Scalability, security of data, substantial relevance, substantial traffic congestions, telecommunication traffic, traffic engineering computing, traffic information, traffic simulation model, transmitted messages, Trust, trusted autonomous vehicle, trustworthiness, VANET, Vehicle dynamics, vehicle trust measurement, vehicular ad hoc networks

Vehicular Ad-hoc Networks (VANETs) play an essential role in ensuring safe, reliable and faster transportation with the help of an Intelligent Transportation system. The trustworthiness of vehicles in VANETs is extremely important to ensure the authenticity of messages and traffic information transmitted in extremely dynamic topographical conditions where vehicles move at high speed. False or misleading information may cause substantial traffic congestions, road accidents and may even cost lives. Many approaches exist in literature to measure the trustworthiness of GPS data and messages of an Autonomous Vehicle (AV). To the best of our knowledge, they have not considered the trustworthiness of other On-Board Unit (OBU) components of an AV, along with GPS data and transmitted messages, though they have a substantial relevance in overall vehicle trust measurement. In this paper, we introduce a novel model to measure the overall trustworthiness of an AV considering four different OBU components additionally. The performance of the proposed method is evaluated with a traffic simulation model developed by Simulation of Urban Mobility (SUMO) using realistic traffic data and considering different levels of uncertainty.

Citation Keychowdhury_trusted_2019