| User privacy protection for a mobile commerce alliance |
| Piao, CH; Li, XY; Pan, X; Zhang, CY
|
| 2016
|
| 发表期刊 | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
 |
| ISSN | 1567-4223
|
| 卷号 | 18页码:58-70 |
| 摘要 | The risk of privacy disclosure in mobile commerce has received increasing attention worldwide. Although many papers related to information privacy and privacy-preserving technologies exist, few are based on a particular mobile commerce model to study the anonymity models and privacy-preserving algorithms. A privacy-preserving service framework for the mobile commerce alliance providing location-based services is established. According to the defined personalized privacy profile of the mobile user, a (K, L, P)-anonymity model is formally described. Based on the model, a new privacy-preserving algorithm for exchanging and merging processes for generating anonymity sets (EMAGAS) is proposed, which features the construction of minimal initial K-anonymity sets, an exchanging process and a merging process. The processes of exchanging and merging are formally described. EMAGAS can be used to protect the location, identifier and other sensitive information of the mobile user on a road network. The availability of EMAGAS is illustrated by an example. Finally, based on a real road network and generated privacy profiles of mobile users, the feasibility and advantages of EMAGAS are experimentally validated. (C) 2016 Published by Elsevier B.V.; The risk of privacy disclosure in mobile commerce has received increasing attention worldwide. Although many papers related to information privacy and privacy-preserving technologies exist, few are based on a particular mobile commerce model to study the anonymity models and privacy-preserving algorithms. A privacy-preserving service framework for the mobile commerce alliance providing location-based services is established. According to the defined personalized privacy profile of the mobile user, a (K, L, P)-anonymity model is formally described. Based on the model, a new privacy-preserving algorithm for exchanging and merging processes for generating anonymity sets (EMAGAS) is proposed, which features the construction of minimal initial K-anonymity sets, an exchanging process and a merging process. The processes of exchanging and merging are formally described. EMAGAS can be used to protect the location, identifier and other sensitive information of the mobile user on a road network. The availability of EMAGAS is illustrated by an example. Finally, based on a real road network and generated privacy profiles of mobile users, the feasibility and advantages of EMAGAS are experimentally validated. (C) 2016 Published by Elsevier B.V. |
| 收录类别 | SCI
; SSCI
|
| 关键词 | Anonymity Model
Location-based Services
Mobile Commerce
Personalized Privacy Profile
Privacy-preserving Algorithm
Privacy Requirements
Service Framework
User Privacy Protection
|
| 部门归属 | Shijiazhuang Tiedao Univ, Sch Informat Sci & Technol, Shijiazhuang, Hebei, Peoples R China. Shijiazhuang Tiedao Univ, Sch Econ & Management, Shijiazhuang, Hebei, Peoples R China. Chinese Acad Sci, Inst Software, Lab Parallel Software & Comp Sci, Beijing, Peoples R China.
|
| 语种 | 英语
|
| WOS记录号 | WOS:000380817800006
|
| 引用统计 |
|
| 内容类型 | 期刊论文
|
| URI标识 | http://ir.iscas.ac.cn/handle/311060/17317
|
| 专题 | 中国科学院软件研究所
|
推荐引用方式
GB/T 7714 |
Piao, CH,Li, XY,Pan, X,et al. User privacy protection for a mobile commerce alliance[J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS,2016,18:58-70.
|
| APA |
Piao, CH,Li, XY,Pan, X,&Zhang, CY.(2016).User privacy protection for a mobile commerce alliance.ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS,18,58-70.
|
| MLA |
Piao, CH,et al."User privacy protection for a mobile commerce alliance".ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS 18(2016):58-70.
|
修改评论