DocumentCode
1757378
Title
Privacy-Preserving Cooperative Route Planning
Author
Florian, M. ; Finster, S. ; Baumgart, I.
Author_Institution
Inst. of Telematics, Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
Volume
1
Issue
6
fYear
2014
fDate
Dec. 2014
Firstpage
590
Lastpage
599
Abstract
Today´s street traffic is still largely inefficient. Overburdened roads lead to congestions, accidents, and unnecessary pollution. The increasing interconnection of traffic participants into the Internet of Vehicles (IoV) has tremendous potential for improving this issue. Cooperative route planning, e.g., is a concept for optimizing vehicular routing on a global scale by gathering data about planned routes from interconnected vehicles. As in other IoV applications, the benefits of such a system come at the cost of an increased privacy risk for participating users. Published routes include both the current and the planned future locations of drivers and passengers-all highly sensitive pieces of information. In the scope of this paper, we demonstrate how cooperative route planning can be realized with strong privacy guarantees without significant cuts in utility or cost. According to our knowledge, this is the first work to consider in this issue. We propose a scheme by which vehicles can publish their intent to pass at specific waypoints at approximate times in an anonymous fashion. While providing complete unlinkability of published intentions to individual users, our scheme is protected against abuse, with misbehaving (i.e., lying) users quickly losing their right to participate.
Keywords
data privacy; road traffic; road vehicles; vehicle routing; Internet of Vehicles; cooperative route planning; privacy preserving route planning; privacy risk; street traffic; vehicular routing; Communication channels; Cryptography; Intelligent vehicles; Path planning; Road traffic; Vehiclular ad hoc networks; Abuse prevention; anonymity; anticipatory route planning; cooperative route planning; privacy;
fLanguage
English
Journal_Title
Internet of Things Journal, IEEE
Publisher
ieee
ISSN
2327-4662
Type
jour
DOI
10.1109/JIOT.2014.2361016
Filename
6914526
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