K-ANONYMITY

作品数：29被引量：39H指数：4
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相关领域：自动化与计算机技术更多>>
相关作者：武毅蒋宗礼王丹陈海亮赵菲菲更多>>
相关机构：北京工业大学北京邮电大学天津大学上海交通大学更多>>
相关期刊：《国际计算机前沿大会会议论文集》《保密科学技术》《计算机应用与软件》《小型微型计算机系统》更多>>
相关基金：国家自然科学基金国家教育部博士点基金北京市自然科学基金上海市科学技术委员会科研基金更多>>
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Providing Location-Aware Location Privacy Protection for Mobile Location-Based Services被引量：6
《Tsinghua Science and Technology》2016年第3期243-259,共17页Yu Wang Dingbang Xu Fan Li 
supported by the National Natural Science Foundation of China (Nos.61370192,61432015,61428203,and 61572347);the US National Science Foundation (Nos.CNS-1319915 and CNS-1343355)
Location privacy has been a serious concern for mobile users who use location-based services provided by third-party providers via mobile networks. Recently, there have been tremendous efforts on developing new anonym...
关键词：location privacy K-ANONYMITY cloaking algorithm location-based service mobile networks 
An Efficient Location Privacy Protection Scheme Based on the Chinese Remainder Theorem被引量：2
《Tsinghua Science and Technology》2016年第3期260-269,共10页Jingjing Wang Yiliang Han Xiaoyuan Yang 
supported in part by the National Natural Science Foundation of China (Nos.61272492 and 61572521);the Shaanxi Province Natural Science Foundation of China (No.2015JM6353);the Basic Foundation of Engineering University of CAPF (No.WJY201521)
Traditional k-anonymity schemes cannot protect a user＇s privacy perfectly in big data and mobile network environments. In fact, existing k-anonymity schemes only protect location in datasets with small granularity. B...
关键词：location privacy protection generalized k-anonymity location-based services the Chinese remaindertheorem 
Privacy-Preserving Data Publishing for Multiple Numerical Sensitive Attributes被引量：6
《Tsinghua Science and Technology》2015年第3期246-254,共9页Qinghai Liu Hong Shen Yingpeng Sang 
supported by the National Natural Science Foundation of China (No. 61170232);the 985 Project Funding of Sun Yat-sen University;State Key Laboratory of Rail Traffic Control and Safety Independent Research (No. RS2012K011);Ministry of Education Funds for Innovative Groups (No. 241147529)
Anonymized data publication has received considerable attention from the research community in recent years. For numerical sensitive attributes, most of the existing privacy-preserving data publishing techniques conce...
关键词：PRIVACY-PRESERVING K-ANONYMITY numerical sensitive attribute CLUSTERING Multi-Sensitive Bucketization（MSB） 
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