User privacy protection for a mobile commerce alliance
作者：
Highlights：
• A privacy-preserving service framework for the mobile commerce alliance providing location-based services.
• Definitions of personalized privacy profile of the mobile user and the (K, L, P)-anonymity model.
• A new privacy-preserving algorithm named EMAGAS, which features the construction of minimal initial K-anonymity sets, an exchanging process and a merging process.
• Experimental validation of the feasibility and the performance advantages of EMAGAS based on a real road network and generated privacy profiles of mobile users.
摘要
•A privacy-preserving service framework for the mobile commerce alliance providing location-based services.•Definitions of personalized privacy profile of the mobile user and the (K, L, P)-anonymity model.•A new privacy-preserving algorithm named EMAGAS, which features the construction of minimal initial K-anonymity sets, an exchanging process and a merging process.•Experimental validation of the feasibility and the performance advantages of EMAGAS based on a real road network and generated privacy profiles of mobile users.
论文关键词：Anonymity model,Location-based services,Mobile commerce,Personalized privacy profile,Privacy-preserving algorithm,Privacy requirements,Service framework,User privacy protection
论文评审过程：Received 15 March 2015, Revised 26 March 2016, Accepted 26 March 2016, Available online 28 March 2016, Version of Record 25 July 2016.
论文官网地址：https://doi.org/10.1016/j.elerap.2016.03.005
