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Title:
User privacy protection for a mobile commerce alliance
Author: Piao, CH ; Li, XY ; Pan, X ; Zhang, CY
Keyword: Anonymity model ; Location-based services ; Mobile commerce ; Personalized privacy profile ; Privacy-preserving algorithm ; Privacy requirements ; Service framework ; User privacy protection
Source: ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
Issued Date: 2016
Volume: 18, Pages:58-70
Indexed Type: SCI ; SSCI
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.
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.
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.
Language: 英语
WOS ID: WOS:000380817800006
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17317
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Piao, CH,Li, XY,Pan, X,et al. User privacy protection for a mobile commerce alliance[J]. ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS,2016-01-01,18:58-70.
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