NDLI: Enhancing location privacy for electric vehicles by obfuscating the linkages of charging events

Content Provider	IEEE Xplore Digital Library
Author	Xiaolei Sun Luning Xia Shijie Jia
Copyright Year	2015
Description	Author affiliation: Inst. of Inf. Eng., DCS Center, State Key Lab. of Inf. Security, Univ. of Chinese Acad. of Sci., Beijing, China (Xiaolei Sun; Luning Xia; Shijie Jia)
Abstract	Electric vehicles are in harmony with the environment, but in many cases the limited maximum driving distance prevents them from popularization. To overcome this disadvantage, many fast charging stations have been established, but privacy concern with respect to the locations of the vehicles arises. To preserve location privacy, sophisticated cryptographic approaches have been capitalized in designing authentication and communication protocols to achieve anonymity. However, from the system-level security standpoint, the arrival and departure events between electric vehicles and charging stations are often linkable. The linkages may still jeopardize the anonymization mechanism, resulting in decreased location privacy. In this paper, we propose a novel scheme to enhance location privacy for electric vehicles by introducing an infrastructure called the power routers to obfuscate the linkages between charging events. Our obfuscation will thwart location inference and improve the anonymization to enhance the location privacy. To evaluate the effectiveness of the power routers, we employ a metric called the linkability. Simulations reveal that the linkability will decrease to only about 10% after introducing the power routers. Meanwhile, the time to calculate all the linkages will increase as much as 10 times, which means it has become significantly more difficult for an adversary to cripple the location privacy for electric vehicles.
Starting Page	155
Ending Page	158
File Size	380058
Page Count	4
File Format	PDF
ISBN	9781479972838
e-ISBN	9781479972845
DOI	10.1109/ICEIEC.2015.7284509
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Privacy Correlation Location privacy Obfuscation Wires Charging stations Electric vehicles Location inference Electric vehicle Unlinkability
Content Type	Text
Resource Type	Article

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