Protecting vehicular networks privacy in the presence of a single adversarial authority

Chang Wu Chen, Sang Yoon Chang, Yih Chun Hu, Yen Wen Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In vehicular networks, each message is signed by the generating node to ensure accountability for the contents of that message. For privacy reasons, each vehicle uses a collection of certificates, which for accountability reasons are linked at a central authority. One such design is the Security Credential Management System (SCMS) [1], which is the leading credential management system in the US. The SCMS is composed of multiple components, each of which has a different task for key management, which are logically separated. The SCMS is designed to ensure privacy against a single insider compromise, or against outside adversaries. In this paper, we demonstrate that the current SCMS design fails to achieve its design goal, showing that a compromised authority can gain substantial information about certificate linkages. We propose a solution that accommodates threshold-based detection, but uses relabeling and noise to limit the information that can be learned from a single insider adversary. We also analyze our solution using techniques from differential privacy and validate it using traffic-simulator based experiments. Our results show that our proposed solution prevents privacy information leakage against the compromised authority in collusion with outsider attackers.

Original languageEnglish
Title of host publication2017 IEEE Conference on Communications and Network Security, CNS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-9
Number of pages9
ISBN (Electronic)9781538606834
DOIs
StatePublished - 19 Dec 2017
Event2017 IEEE Conference on Communications and Network Security, CNS 2017 - Las Vegas, United States
Duration: 9 Oct 201711 Oct 2017

Publication series

Name2017 IEEE Conference on Communications and Network Security, CNS 2017
Volume2017-January

Conference

Conference2017 IEEE Conference on Communications and Network Security, CNS 2017
Country/TerritoryUnited States
CityLas Vegas
Period9/10/1711/10/17

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