Research Article
RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks
@INPROCEEDINGS{10.1007/978-3-642-11526-4_4, author={Yu-Chih Wei and Yi-Ming Chen and Hwai-Ling Shan}, title={RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks}, proceedings={Security in Emerging Wireless Communication and Networking Systems. First International ICST Workshop, SEWCN 2009, Athens, Greece, September 14, 2009, Revised Selected Papers}, proceedings_a={SEWCN}, year={2012}, month={5}, keywords={VANET Location Privacy Tracking Anonymity}, doi={10.1007/978-3-642-11526-4_4} }- Yu-Chih Wei
Yi-Ming Chen
Hwai-Ling Shan
Year: 2012
RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks
SEWCN
Springer
DOI: 10.1007/978-3-642-11526-4_4
Abstract
In Vehicular Networks, for enhancing driving safety as well as supporting other applications, vehicles periodically broadcast safety messages with their precise position information to neighbors. However, these broadcast messages make it easy to track specific vehicles and will likely lead to compromise of personal privacy. Unfortunately, current location privacy enhancement methodologies in VANET, including Pseudonymization, K-anonymity, Random silent period, Mix-zones and path confusion, all suffer some shortcomings. In this paper, we propose a RSSI (Received Signal Strength Indicator)-based user centric anonymization model, which can significantly enhance the location privacy and at the same time ensure traffic safety. Simulations are performed to show the advantages of the proposed method. In comparison with traditional random silent period method, our method can increase at least 47% of anonymity in both simple and correlation tracking.
