Institutional Repository
| User privacy protection for a mobile commerce alliance | |
| Piao, CH; Li, XY; Pan, X; Zhang, CY | |
| 2016 | |
| Source | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
 |
| ISSN | 1567-4223 |
| Volume | 18Pages:58-70 |
| English Abstract | 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. |
| Indexed Type | SCI ; SSCI |
| Keyword | Anonymity Model Location-based Services Mobile Commerce Personalized Privacy Profile Privacy-preserving Algorithm Privacy Requirements Service Framework User Privacy Protection |
| Department | 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. |
| Language | 英语 |
| WOS ID | WOS:000380817800006 |
| Citation statistics | |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/17317 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 1-s2.0-S156742231630（1915KB） | 开放获取 | License | Application Full Text | |||
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