Putting the user in control of the intelligent transportation system

Abstract

Intelligent Transportation Systems (ITS) demonstrate innovative services for different modes of transport and traffic management. They enable users to be better informed and make safer, coordinated, and smarter use of transport networks. However, for such systems to be effective, security and privacy considerations have to be enforced. GPS data can lead to accurate traffic models, but such data can also be used by malicious advisories to gain knowledge about the whereabouts of users. In this paper, we propose a model and related constructs for users to define sharing policies for the data they contribute. The model allows entities to define data sharing policies associated with personal information captured by an ITS application. While ITS applications need to use specific data under various quality and context-based constraints, the user-oriented security policies could specify additional usage constraints, and our solution is an approach to mediate between these two sides. Secondly, we propose an algorithm to manage the trust level in the data contributed by users. The solution is based on the quality parameters of the information disseminated in the system, e.g. spatial whereabouts and timestamp for the transmitted data regarding various events happening in the system, combined with the reputation specific to the sources that transmit data. We evaluate a pilot security implementation of the model under real-world assumptions.