User privacy protection for a mobile commerce alliance
文献类型：期刊论文
| 作者 | Piao, CH ; Li, XY ; Pan, X ; Zhang, CY |
| 刊名 | ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
 |
| 出版日期 | 2016 |
| 卷号 | 18页码:58-70 |
| 关键词 | Anonymity model Location-based services Mobile commerce Personalized privacy profile Privacy-preserving algorithm Privacy requirements Service framework User privacy protection |
| ISSN号 | 1567-4223 |
| 中文摘要 | 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. |
| 英文摘要 | 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. |
| 收录类别 | SCI ; SSCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000380817800006 |
| 公开日期 | 2016-12-09 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/17317]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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