详细信息

The Location Privacy Preserving of Social Network Based on RCCAM Access Control  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:The Location Privacy Preserving of Social Network Based on RCCAM Access Control

作者:Zhang, Xueqin[1];Zhou, Qianru[1];Gu, Chunhua[2];Han, Liangxiu[3]

机构:[1]East China Univ Sci & Technol, Coll Informat Sci & Engn, Shanghai, Peoples R China;[2]Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai, Peoples R China;[3]Manchester Metropolitan Univ, Sch Comp Math & Digital Technol, Manchester, Lancs, England

年份:2018

卷号:35

期号:sup1

起止页码:68

外文期刊名:IETE TECHNICAL REVIEW

收录:;EI(收录号:20183805831632);WOS:【SSCI(收录号:WOS:000458162200008),SCI-EXPANDED(收录号:WOS:000458162200008)】;

基金:This work is supported by the National Natural Science Fund of China (NNSFC) [grant number 61472139].

语种:英文

外文关键词:Access control; Location privacy; Location sensitivity; Privacy preservation; Publishing strategy; Social network

摘要:Location-based services in social networks provide much convenience for people but bring much risk of location privacy disclosure. Aiming at this problem, a location privacy preservation algorithm based on RCCAM access control model is proposed to assign the accessing users of the access permission and the visibility level of location information through the combination of conflict resolution strategy, permission allocation strategy and location generalization strategy. RCCAM is a relationship-based multi-users cooperation access control model, which takes the same shared contents that may involves the privacy profits of multi-users into consideration. The core of the algorithm is the value of open tendency which depends on the location sensitivity and the intimacy between the users. The conflict resolution strategy adopts the value of open tendency to vote for concessions. The permission allocation strategy and location generalization strategy to obtain the specific access permission and the location visibility level for accessing users according to the value of open tendency. The algorithm can achieve fine-grained control of location publishing of the shared content which involves stakeholder's privacy profit and maintain the sharing will of promulgator as possible.

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