Adaptive Privacy-Preserving Authentication in Vehicular Networks
| dc.contributor.author | Kewei, Sha | |
| dc.date.accessioned | 2020-10-01T14:28:08Z | |
| dc.date.available | 2020-10-01T14:28:08Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Vehicular networks have attracted extensive attention in recent years for their promises in improving safety and enabling other value-added services. Most previous work focuses on designing the media access and physical layer protocols. Privacy issues in vehicular networks have not been well addressed. We argue that privacy is a user-specific concept and a good privacy protection mechanism should allow users to select the degree of privacy they wish to have. To address this requirement, we propose an adaptive privacy-preserving authentication mechanism that can trade off the privacy degree with computational and communication overheads (resource usage). This mechanism, to our knowledge, is the first effort on adaptive privacy-preserving authentication. We present analytical and preliminary results to show that the proposed protocol is nt only adaptive but scalable. | en_US |
| dc.identifier.citation | Yong Xi, Kewei Sha, Weisong Shi, Loren Schwiebert, and Tao Zhang, “Probabilistic Adaptive Privacy-Preserving Authentication in Vehicular Networks”, Journal of Computer Science and Technology (JCST) Vol. 23, No. 6, pp. 916-928, November 2008. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10657.1/2522 | |
| dc.publisher | Journal of Computer Science and Technology | en_US |
| dc.subject | Privacy, Vehicular Networks, Security, | en_US |
| dc.title | Adaptive Privacy-Preserving Authentication in Vehicular Networks | en_US |
| dc.type | Article | en_US |
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