4.7 Article

Privacy-preserving authentication scheme with full aggregation in VANET

期刊

INFORMATION SCIENCES
卷 476, 期 -, 页码 211-221

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.10.021

关键词

Certificateless aggregate signature; Privacy-preserving; Full aggregation; VANET

资金

  1. National Natural Science Foundation of China [61872001, 61572001, 61702005]
  2. Open Fund of Key Laboratory of Embedded System and Service Computing (Tongji University), Ministry of Education [ESSCKF2018-03]
  3. Natural Science Foundation of Anhui Province [1708085QF136]
  4. Open Fund for Discipline Construction, Institute of Physical Science and Information Technology, Anhui University
  5. Excellent Talent Project of Anhui University

向作者/读者索取更多资源

Vehicular Ad-hoc Network (VANET) is the fundamental of intelligent transportation systems. Security and privacy are the important issues needed to be addressed. Existing schemes for privacy-preserving vehicular communications face many challenges, such as strong assumption on ideal tamper-proof device (TPD) and reducing the cost of computation and communication. In order to overcome the challenge, we propose a privacy preserving authentication scheme with full aggregation in VANET, using certificateless aggregate signature to achieve secure vehicle-to-infrastructure (V2I) communications. The technique of aggregate signature can achieve message authentication and greatly save the bandwidth and computation resources. In addition, we use pseudonym to realize conditional privacy preserving and a trace authority (TRA) is responsible for generating pseudonym and tracking the real identity during the communication if it is necessary. When a vehicle enters an area under a new road side unit (RSU)'s coverage, we pre-calculate some data for once, thus the computation cost in sign phase can be reduced. The length of aggregated signature is constant which reduces the communication and storage overhead. (C) 2018 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据