移动互联网下位置隐私保护及攻击技术研究
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摘要
随着移动技术的日益发展,互联网从传统的PC端逐渐转向了以移动端为主要载体的新发展模式。位置服务在移动领域具有广泛的应用,但位置信息与用户身份的关联关系可能会被不法分子利用,给用户带来严重的伤害。文章研究了移动网络下的位置隐私保护,首先给出了三种位置服务结构,接着介绍了攻击者常用的攻击方法,并对典型的位置隐私保护技术进行了详细分析,最后结合服务需求和技术的发展趋势,指出了未来的保护技术研究重点。
With the development of mobile technology, the Internet has moved from the traditional PC to the new development model with the mobile side as the main carrier. Location services in the mobile space has wide application, but the location information associated with the identity of the users relationship may be the use of, brings the serious damage to the user. This paper studies the position of mobile network privacy protection, three location service structure is given first, then introduces the common method of assault, attackers and the typical location privacy protection technology are analyzed in detail, the trend of the development of service demand and technique, points out the future protection technology research focus.
With the development of mobile technology, the Internet has moved from the traditional PC to the new development model with the mobile side as the main carrier. Location services in the mobile space has wide application, but the location information associated with the identity of the users relationship may be the use of, brings the serious damage to the user. This paper studies the position of mobile network privacy protection, three location service structure is given first, then introduces the common method of assault, attackers and the typical location privacy protection technology are analyzed in detail, the trend of the development of service demand and technique, points out the future protection technology research focus.
引文
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[22]孟小峰,张啸剑.大数据隐私管理[J].计算机研究与发展,2015(2):265-281.
[23]马明杰,杜跃进,李凤华,刘佳文.基于语义的位置服务隐私保护综述[J].网络与信息安全学报,2016(12):1-11.
[24]张学军,桂小林,伍忠东.位置服务隐私保护研究综述[J].软件学报,2015(9):2373-2395.
[25]李敏,秦志光.路网环境下位置隐私保护技术研究进展[J].计算机应用研究,2014(9):2576-2580.
[26]ALANISAMY B,LIU L.Attack-resilient mix-zones over road networks:architecture and algorithms[J].IEEE Transactions on Mobile Computing,2015,14(3):495-508.
[27]何云华,孙利民,杨卫东,李红.基于博弈分析的众包交通监测隐私保护机制[J].电子与信息学报,2016(2):340-346.
[28]倪巍伟,马中希,陈萧.面向路网隐私保护连续近邻查询的安全区域构建[J].计算机学报,2016(3):628-642.
[29]Ayong Ye,Yacheng Li,Li Xu.A Novel Location Privacy-Preserving Scheme Based on l-Queries for Continuous LBS[J].Computer Communications,2016.
[30]邓劲松,罗永龙,俞庆英,陈付龙.基于非敏感信息分析的轨迹数据隐私保护发布[J].计算机应用,2017(2):488-493.
[2]Gang Sun,Dan Liao,Hui Li,Hongfang Yu,Victor Chang.L2P2:A location-label based approach for privacy preserving in LBS[J].Future Generation Computer Systems,2016.
[3]Chunguang Ma,Lei Zhang,Songtao Yang,Xiaodong Zheng,Pinhui Ke.Achieve Personalized Anonymity Through Query Blocks Exchanging[J].China Communications,2016,(11):106-118.
[4]赵大鹏,宋光旋,靳远远,王晓玲.基于查询概率的位置隐私保护方法[J].计算机应用,2017(2):347-351+359
[5]王家波,赵泽茂,李林.位置服务中一种基于假轨保护方法[J].信息网络安全,2014(3):62-67
[6]LU Qiwei,WANGCaimei,XIONGYan,XIAHuihua,HUANGWenchao,GONGXudong.Personalized Privacy-Preserving Trajectory Data Publishing[J].Chinese Journal of Electronics,2017(2):285-291.
[7]胡德敏,郑霞.基于Space Twist的k-匿名增量近邻查询位置隐私保护算法[J].计算机应用研究,2016(8):2402-2404+2412.
[8]林少聪,叶阿勇,许力.基于坐标变换的k匿名位置隐私保护方法[J].小型微型计算机系统,2016(1):119-123.
[9]NAINI F M,UNNIKRISHNAN J,THIRAN P.Where you are is who you are:user identification by matching statistics[J].IEEE Transactions on Information Forensics and Security,2016,11(2):358-372.
[10]郑路倩.抵制位置链接攻击的轨迹隐私保护匿名模型及算法研究[D].浙江师范大学,2015.
[11]李超,殷丽华,耿魁,方滨兴.面向移动社交网络内容分享的位置隐私保护方法[J].通信学报,2016(11):31-41.
[12]王璐,孟小峰.位置大数据隐私保护研究综述[J].软件学报,2014,25(4):693-712.
[13]Chunguang Ma,Lei Zhang,Songtao Yang,Xiaodong Zheng,Pinhui Ke.Achieve Personalized Anonymity Through Query Blocks Exchanging[J].China Communications,2016(11):106-118.
[14]Jingjing Wang,Yiliang Han,Xiaoyuan Yang.An Efficient Location Privacy Protection Scheme Based on the Chinese Remainder Theorem[J].Tsinghua Science and Technology,2016(3):260-269.
[15]温明军.一种基于本地信誉存储的K-匿名激励机制[D].西安电子科技大学,2014.
[16]Weiwei Ni,Mingzhu Gu,Xiao Chen.Location privacy-preserving k nearest neighbor query under user’s preference[J].Knowledge-Based Systems,2016.
[17]高强,张凤荔,王瑞锦,周帆.轨迹大数据:数据处理关键技术研究综述[J].软件学报,2017(4):959-992.
[18]万盛,李凤华,牛犇,孙哲,李晖.位置隐私保护技术研究进展[J].通信学报,2016(12):124-141.
[19]王勇,高诗梦,聂肖,张俊浩.基于速度动态差异的位置服务匿名算法[J].信息网络安全,2015(4):28-35.
[20]Chunhui Piao,Xiaoyan Li,Xiao Pan,Changyou Zhang.User Privacy Protection for a Mobile Commerce Alliance[J].Electronic Commerce Research and Applications,2016.
[21]许志凯,张宏莉,余翔湛.轨迹隐私保护研究综述[J].智能计算机与应用,2017(1):125-127.
[22]孟小峰,张啸剑.大数据隐私管理[J].计算机研究与发展,2015(2):265-281.
[23]马明杰,杜跃进,李凤华,刘佳文.基于语义的位置服务隐私保护综述[J].网络与信息安全学报,2016(12):1-11.
[24]张学军,桂小林,伍忠东.位置服务隐私保护研究综述[J].软件学报,2015(9):2373-2395.
[25]李敏,秦志光.路网环境下位置隐私保护技术研究进展[J].计算机应用研究,2014(9):2576-2580.
[26]ALANISAMY B,LIU L.Attack-resilient mix-zones over road networks:architecture and algorithms[J].IEEE Transactions on Mobile Computing,2015,14(3):495-508.
[27]何云华,孙利民,杨卫东,李红.基于博弈分析的众包交通监测隐私保护机制[J].电子与信息学报,2016(2):340-346.
[28]倪巍伟,马中希,陈萧.面向路网隐私保护连续近邻查询的安全区域构建[J].计算机学报,2016(3):628-642.
[29]Ayong Ye,Yacheng Li,Li Xu.A Novel Location Privacy-Preserving Scheme Based on l-Queries for Continuous LBS[J].Computer Communications,2016.
[30]邓劲松,罗永龙,俞庆英,陈付龙.基于非敏感信息分析的轨迹数据隐私保护发布[J].计算机应用,2017(2):488-493.