A privacy-preserving data aggregation mechanism for VANETs

Article type: Research Article

Authors: Yang, Wei-Dong^{a; b; *} | Gao, Ze-Ming^{a; b} | Wang, Ke^{a; b} | Liu, Hong-Yue^{a; b}

Affiliations: [a] Key Laboratory of Grain Information Processing and Control, Henan University of Technology, Ministry of Education, Zhengzhou, Henan 450001, China | [b] College of Information Science and Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China

Correspondence: [*] Corresponding author. E-mail: 1061507109@qq.com.

Abstract: It has been envisioned that vehicular ad hoc networks (VANETs) would play an important role in future traffic monitoring applications. This paper investigates how VANETs can overcome the strictly limited bandwidth and privacy issues. Firstly, an aggregation scheme is presented to minimize the required overall bandwidth. Subsequently, a privacy algorithm capable of ensuring user privacy in applications is proposed. This proposed mechanism can not only protect the private data of each individual against the adversaries with arbitrary auxiliary information, but also achieve the optimal accuracy of aggregates. Through simulations, the viability of this approach is confirmed.

Keywords: VANETs, data aggregation, differentially private

DOI: 10.3233/JHS-160544

Journal: Journal of High Speed Networks, vol. 22, no. 3, pp. 223-230, 2016