A blockchain anonymity solution to prevent location homogeneity attacks

【Author】 Liu, Zhenpeng; Liu, Qiannan; Miao, Dewei; Ren, Lele; Zhao, Yonggang

【Source】CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

【影响因子】1.831

【Abstract】Location-based services currently face two critical issues: an insufficient number of anonymous users and the problem of location semantic homogeneity. To prevent location homogeneity attacks, we suggest a blockchain-based anonymization approach. This scheme introduces blockchain to store the anonymous process of the requesting user and collaborating user as evidence, establishes an incentive mechanism to promote cooperation between the two parties, and then selects users who meet the semantic threshold through the location semantic tree to construct the final anonymous set. The security analysis and simulation experiments demonstrate that the scheme suggested in this article can effectively motivate and constrain each user. The semantic security value is close to the maximum value of 1, preventing homogeneity attacks caused by location semantics and protecting users' location privacy.

【Keywords】blockchain; distributed k-anonymity; homogeneity attack; incentive mechanism; location semantics

【发表时间】

【收录时间】2022-09-22

【文献类型】实验仿真

【主题类别】

区块链技术-核心技术-隐私保护