@inproceedings{8675574bee2f4fbf8042109ea0d2e1f8,
title = "Securing Pseudonym Schemes for Vehicular Privacy",
abstract = "This poster reports on a project to improve privacy in the presence of vehicle-to-everything (V2X) communication. Cooperative Intelligent Transport Systems (C-ITS) enable communication and information sharing between a vehicle and other entities using V2X. While there are many (emerging) applications for such messages, they also compromise privacy. Though pseudonym change strategies have been developed, privacy attacks have been demonstrated. This paper reports on a study that shows that by adding a small random noise to the length and widths of cars in V2X messages, these attacks can be defeated without negatively impacting the applications of these messages.",
keywords = "Intelligent transportation systems, Privacy, V2X Communications",
author = "Md Hasan and Hoda Maleki and Gagan Agrawal",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Big Data, Big Data 2022 ; Conference date: 17-12-2022 Through 20-12-2022",
year = "2022",
doi = "10.1109/BigData55660.2022.10020907",
language = "English (US)",
series = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6647--6649",
editor = "Shusaku Tsumoto and Yukio Ohsawa and Lei Chen and {Van den Poel}, Dirk and Xiaohua Hu and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan",
booktitle = "Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022",
}