通信学报2018，Vol.39Issue(3)：76-85,10.DOI:10.11959/j.issn.1000-436x.2018038
基于联合熵隐私保护的自适应动态Mix-zone方案
Dynamic Mix-zone scheme with joint-entropy based metric for privacy-perserving in IoV
摘要
Abstract
Aiming at the weak flexibility and lack of users' transparency existing in the current Mix-zone schemes for In-ternet of vehicle (IoV), a dynamic was proposed for Mix-zone construction with traffic adaption, which could construct a Mix-zone for the vehicles dynamically according to the traffic conditions for changing pseudonym at anytime and anywhere. This kind of Mix-zone could achieve privacy-preserving based on the identity and location. In addition, a novel traf-fic-adaptive metric was presented for classifying the privacy leveled in Mix-zone, which applied the normalization quantita-tion to measure the degree of Mix-zone's privacy demanding by the current region. It was verified that the joint entro-py-based privacy measuring model and the Mix-zone construction scheme by utilizing the trajectory data of taxis in certain district in Shenzhen city. The experimental shows that the proposed combination entropy-based model could depict the pro-portional relationship between the traffic scene parameters and the privacy-preserving degrees. The scheme is better in per-formance over the related methods, and strikes a good balance between location privacy and service usability.关键词
车联网/Mix-zone/联合熵/隐私保护Key words
Internet of vehicle/Mix-zone/joint-entropy/privacy-preserving分类
信息技术与安全科学引用本文复制引用
冯霞,刘亚伟..基于联合熵隐私保护的自适应动态Mix-zone方案[J].通信学报,2018,39(3):76-85,10.基金项目
国家自然科学基金资助项目(No.U1736216, No.61472001, No.61702233) （No.U1736216, No.61472001, No.61702233）
江苏省重点研发计划基金资助项目(No.BE2015136)The National Natural Science Foundation of China (No.U1736216, No.61472001, No.61702233), The Key Re-search and Development Plan Project of Jiangsu Province (No.BE2015136) （No.BE2015136）
