Privacy Preserving-based Recommendation Service Model of Mobile Commerce and Anonimity Algorithm

被引：2

作者：

Piao, Chunhui ^{[1
]}

Li, Xiaoyan ^{[1
]}

机构：

[1] Shijiazhuang Tiedao Univ, Sch Informat Sci & Technol, Shijiazhuang, Peoples R China

来源：

2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE) | 2015年

关键词：

Location-based service; Anonymity model; Privacy preserving algorithm; Cloud platform; LOCATION PRIVACY;

D O I：

10.1109/ICEBE.2015.77

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The wide location based service in the application of mobile commerce has brought great convenience to people's work and lives, while the risk of privacy disclosure has been receiving more and more attention from the academia and industry. After analyzing the privacy issues in mobile commerce, a privacy preserving recommendation service framework based on cloud is established. According to the defined personalized privacy requirements of mobile users, the (K, L, P)-anonymity model is formally described. Based on the anonymity model, a dynamically structure minimum anonymous sets algorithm DSMAS is proposed, which can be used to protect the location, identifier and other sensitive information of the mobile user on the road network. Finally, based on a real road network and generated privacy profiles of the mobile users, the feasibility of algorithm are validated by experimentlly analyzing using the metrics including information entropy, query cost, anonymization time and dummy ratio.

引用

页码：420 / 427

页数：8

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