@inproceedings{4e97894673d540b184afaa53ae84b5f6,
title = "POSTER: Context-adaptive user-centric privacy scheme for VANET",
abstract = "Vehicular adhoc network allows vehicles to exchange their information for safety and traffic efficiency. However, exchanging information may threaten the driver privacy because it includes spatiotemporal information and is broadcast publicly on a periodical basis. In this paper, we propose a context-adaptive privacy scheme which lets a vehicle decide autonomously when to change its pseudonym and how long it should remain silent to ensure unlinkability. This scheme adapts dynamically based on the density of the surrounding traffic and the user privacy preferences. According to the experimental results, the proposed scheme demonstrates a significant reduction in traceability with a better quality of forward collision warning application compared with the random silent period scheme.",
keywords = "Context-adaptive privacy, Forward collision warning, Random silent period, Safety application",
author = "Karim Emara and Wolfgang Woerndl and Johann Schlichter",
note = "Publisher Copyright: {\textcopyright} Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.; 11th International Conference Security and Privacy in Communication Networks, SecureComm 2015 ; Conference date: 26-10-2015 Through 29-10-2015",
year = "2015",
doi = "10.1007/978-3-319-28865-9\_37",
language = "English",
isbn = "9783319288642",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "590--593",
editor = "Bhavani Thuraisingham and XiaoFeng Wang and Vinod Yegneswaran",
booktitle = "Security and Privacy in Communication Networks - 11th International Conference, SecureComm 2015, Revised Selected Papers",
}