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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Burmester, M. Magkos, E. Chrissikopoulos, V. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL (Burmester, M.) || Dept. of Inf., Ionian Univ., Corfu (Magkos, E.; Chrissikopoulos, V.) |
| Abstract | In the not so far future, vehicles are expected to be able to communicate with each other and with the road infrastructure, to enhance driving experience and support road safety, among others. Vehicular ad-hoc networks (VANETs) introduce a number of security challenges to the research community, mainly concerning the tradeoff between the privacy of the drivers and the accountability of misbehaving vehicles. Another challenge is how to satisfy privacy in the presence of an adversary that has access to all communication (a global observer), and that can perform traffic analysis in order to link messages and identify vehicles. In this paper we attempt to address such issues and propose a set of cryptographic mechanisms that balance the tradeoff between privacy and accountability in a VANET. Furthermore, we examine techniques for location privacy against adversaries that perform a Bayesian traffic analysis, and propose a strategy to strengthen location privacy in VANETs. |
| Starting Page | 508 |
| Ending Page | 513 |
| File Size | 235978 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533933 |
| DOI | 10.1109/WiMob.2008.32 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | UNLINKABILITY Privacy Protocols Roads Bayesian methods PRIVACY ACCOUNTABILITY Public key VEHICULAR NETWORKS Cryptography Vehicles |
| Content Type | Text |
| Resource Type | Article |
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