移动互联网中的位置隐私保护研究

doi:10.11959/j.issn.1000-436x.2015167

Abstract

Abstract:

The related researches on location privacy in mobile internet were surveyed comprehensively,dissertate sepa-rately from the perspective of LBS(location-based services) and location service.First the privacy protection approaches for LBS were detailed,their features in the view of privacy attacks and LBS applicability were researched.Then the es-sence and research boundary of location privacy in location service were demonstrated,its related research progress and policies were introduced.The future research directions are provided in the end.

Key words: location privacy, LBS, ocation service, mobile internet

Yu-hang WANG,Hong-li ZHANG,Xiang-zhan YU. Research on location privacy in mobile internet[J]. Journal on Communications, 2015, 36(9): 230-243.

Figures/Tables 17

References 48

[1]	KIM H , KIM J , LEE Y , et al. An empirical study of the use contexts and usability problems in mobile Internet[A]. Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS 2002)[C]. Hawaii, 2002.
[2]	Internet trends 2014[EB/OL]. , 2014.
[3]	The Unital States' global surveillance recond[EB/OL]. , 2014.
[4]	DAMIANI M L , CUIJPERS C . Privacy challenges in third-party location services[A]. IEEE 14th International Conference on Mobile Data Management(MDM 2013)[C]. Milan,Italy, 2013.
[5]	DUCKHAM M , KULIK L . Location Privacy and Location-Aware Computing[M]. FL:CRC Press, 2006.
[6]	周傲英，杨彬，金澈清，等. 基于位置的服务：架构与进展[J]. 计算机学报 2011,34(7): 1155-1171. ZHOU A Y , YANG B , JIN C Q , et al. Location-based services:archi-tecture and progress[J]. Chinese Journal of Computers, 2011,34(7): 1155-1171.
[7]	KIDO H , YANAGISAWA Y , SATOH T . An anonymous communica-tion technique using dummies for location-based services[A]. Pro-ceedings of the International Conference on Pervasive Services(ICPS 2005)[C]. Santorini,Greece, 2005.88-97.
[8]	SHANKAR P , GANAPATHY V , IFTODE L . Privately querying location-based services with sybilQuery[A]. Proceedings of the 11th Inter-national Conference on Ubiquitous Computing(UBICOMP 2009)[C]. 2009.31-40.
[9]	HONG J I , LANDAY J A . An architecture for privacy-sensitive ubiq-uitous computing[A]. Proceedings of the 2nd International Conference on Mobile Systems,Applications,and Services(MOBISYS 2004)[C]. Boston,Massachusetts,USA, 2004.177-189.
[10]	ARDAGNA C A , CREMONINI M , DAMIANI E . Location privacy protection through obfuscation-based techniques[A]. Proceedings of the 21st Annual IFIP WG 11.3 Working Conference on Data and Ap-plications Security[C]. 2007.47-60.
[11]	DUCKHAM M , KULIK L . A formal model of obfuscation and nego-tiation for location privacy[A]. Proceedings of the 3rd International Conference on Pervasive Computing(PERVASIVE 2005)[C]. Munich,Germany, 2005.152-170.
[12]	HU H B , XU J L . 2PASS bandwidth-optimized location cloaking for anonymous location-based services[J]. IEEE Transactions on Parallel and Distributed Systems, 2010,21(10): 1458-1472.
[13]	GRUTESER M , GRUNWALD D . Anonymous usage of loca-tion-based services through spatial and temporal cloaking[A]. Pro-ceedings of the 1st International Conference on Mobile Systems,Ap-plications and Services (MOBISYS 2003)[C]. San Francisco,Califor-nia, 2003.31-42.
[14]	MOKBEL M F , CHOW C Y , AREF W G . The new casper:query processing for location services without compromising privacy[A]. International Conference on Very Large Data Bases (VLDB 2006)[C]. Seoul,South Korea, 2006.763-774.
[15]	GEDIK B , LIU L . Location privacy in mobile systems:a personalized anonymization model[A]. Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS 2005)[C]. Columbus,OH,USA, 2005.620-629.
[16]	ZHANG C Y , HUANG Y . Cloaking locations for anonymous location based services:a hybrid approach[J]. Geoinformatica, 2009,13(2): 159-182.
[17]	PAN X , MENG X F , XU J L . Distortion-based anonymity for continu-ous queries in location-based mobile services[A]. Proceedings of the ACM SIGSPATIAL International Conference on Advances in Ge-ographic Information Systems(GIS 2009)[C]. Seattle,Washington, 2009.256-265.
[18]	BERESFORD A R , STAJANO F . Location privacy in pervasive com-puting[J]. IEEE Pervasive Computing, 2003,2(1): 46-55.
[19]	BERESFORD A R , STAJANO F . Mix zones:user privacy in loca-tion-aware services[A]. Proceedings of the 2nd IEEE Annual Confer-ence on Pervasive Computing and Communications Workshops[C]. 2004.127-131.
[20]	PALANISAMYB , LIU L . MobiMix:protecting location privacy with mix-zones over road networks[A]. IEEE 27th International Conference on Data Engineering (ICDE 2011)[C]. 2011.494-505.
[21]	JANG M Y , CHANG J W . A new cloaking method based on weighted adjacency graph for preserving user location privacy in LBS[J]. Com-puter Science and its Applications, 2012,203:129-138.
[22]	GHINITA G , KALNIS P , SKIADOPOULOS S . Mobihide:a mobile peer to peer system for anonymous location-based queries[A]. Pro-ceedings of the 10th International Conference on Advances in Spatial and Temporal Databases (SSTD 2007)[C]. Boston,MA,USA, 2007.221-238.
[23]	WERNKE M , SKVORTSOV P , DURR F , et al. A classification of location privacy attacks and approaches[J]. Personal and Ubiquitous Computing, 2012,18(1): 163-175.
[24]	CHOW C Y , MOKBEL M F . Trajectory privacy in location-based services and data publication[J]. SIGKDD Explorations, 2011,13(1): 19-29.
[25]	MASCETTI S , FRENI D , BETTINI C , et al. Privacy in geo-social networks:proximity notification with untrusted service providers and curious buddies[J]. The VLDB Journal, 2011,20(4): 541-566.
[26]	LI X Y , JUNG T . Search me if you can:privacy-preserving location query service[A]. Proceedings of the INFOCOM 2013[C]. Turin,Italy, 2013.2760-2768.
[27]	MARIAS G F , DELAKOURIDIS C , KAZATZOPOULOS L , et al. Location privacy through secret sharing techniques[A]. Sixth IEEE In-ternational Symposium on a World of Wireless Mobile and Multimedia Networks(WOWMOM 2005)[C]. Taormina,Italy, 2005.614-620.
[28]	WERNKE M , DURR F , ROTHERMEL K . PShare:position sharing for location privacy based on multi-secret sharing[A]. Proceedings of the 10th IEEE International Conference on Pervasive Computing and Com-munications (PERCOM 2012)[C]. Lugano,Switzerland, 2012.153-161.
[29]	KRUMM J . Inference attacks on location tracks[A]. Proceedings of the 5th International Conference on Pervasive Computing (PERVA-SIVE 2007)[C]. Toronto,Canada, 2007.127-143.
[30]	GHINITA G , DAMIANI M L , SILVESTRI C , et al. Preventing veloc-ity-based linkage attacks in location-aware applications[A]. Pro-ceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2009)[C]. Seattle,Washington,USA, 2009.246-255.
[31]	MOKBEL M F . Privacy in location-based services:state of the art and research directions[A]. Proceedings of the 8th International Confer-ence on Mobile Data Management(MDM 2007)[C]. Mannheim,Ger-many, 2007.228.
[32]	MACHANAVAJJHALA A , KIFER D , GEHRKE J , et al. L-diversity:privacy beyond k-anonymity[J]. ACM Transactions on Knowledge Discovery from Data, 2007,1(1): 3.
[33]	TSAI J Y , KELLEY P G , CRANOR L F , et al. Location-sharing tech-nologies:privacy risks and controls[A]. TPRC 2009[C]. 2009.
[34]	Location API[EB/OL]. .
[35]	Privacy policiey[EB/OL]. .
[36]	LAMARCA A , HIGHTOWER J , SMITH I , et al. Self-mapping in 802.11 location systems[A]. Proceedings of the 7th International Con-ference on Ubiqutous Computing(UBICOMP 2005)[C]. Tokyo,Japan, 2005.87-104.
[37]	LATEGAHN J , KUENEMUND F , ROEHRIG C . Mobile robot local-ization using WLAN,odometry and gyroscope data[J]. International Journal of Computing, 2010,9(1): 22-30.
[38]	FICCO M , PALMIERI F , CASTIGLIONE A . Hybrid indoor and outdoor location services for new generation mobile terminals[J]. Per-sonal and Ubiquitous Computing, 2014,18(2): 271-285.
[39]	KUHN M G . An asymmetric security mechanism for navigation sig-nals[A]. Proceedings of the 6th International Conference on Informa-tion Hiding(IH 2004)[C]. Toronto,Canada, 2004.239-252.
[40]	TIPPENHAUER N O , RASMUSSEN K B , POPPER C , et al. Attacks on public WLAN-based positioning systems[A]. Proceedings of the 7th International Conference on Mobile Systems,Applications,and Services(MOBISYS 2009)[C]. Kraków,Poland, 2009.29-40.
[41]	Android location SDK[EB/OL]. .
[42]	Configure access points with google location services[EB/OL]. .
[43]	PENG Z T , KAJI K , KAWAGUCHI N . Privacy protection in WiFi-based location estimation[A]. Seventh International Conference on Mobile Computing and Ubiquitous Networking(ICMU 2014)[C]. Singapore, 2014.62-67.
[44]	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. WANG L , MENG X F . Location privacy preservation in big data era:a survey[J]. Journal of Software, 2014,25(4): 693-712.
[45]	GHINITA G , KALNIS P , KHOSHGOZARAN A , et al. Private queries in location based services:anonymizers are not necessary[A]. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD 2008)[C]. Vancouver,Canada, 2008.121-132.
[46]	WANG H , WANG Z Y , SHEN G B , et al. Wheelloc:enabling con-tinuous location service on mobile phone for outdoor scenarios[A]. Proceedings of the INFOCOM 2013[C]. Turin,Italy, 2013.2733-2741.
[47]	About POLS[EB/OL]. .
[48]	LI B H , QUADER I J , DEMPSTER A G . On outdoor positioning with WiFi[J]. Journal of Global Positioning Systems, 2008,7(1): 18-26.

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架构模型	相关文献
架构1	文献[7,8,9,1011,12]
架构2	文献[13,14,15,16,17,18,19,20,21]
架构3	文献[22]

隐私度量	相关文献
匿名度	文献[12,13,14,15,16,17,18,19,20,21,22]
匿名区域	文献[13,14,15,16,17,22]
泛化程度	文献[7,8,11]
最小半径	文献[10]

编号	LBS分类	典型LBS	应用
1	有验证/社会信息/单点	查看附近可以使用我的代金券的饭店	大众点评
2	有验证/社会信息/轨迹	当我预订的出租车预计3 min内到达时提醒我出门	快的打车
3	有验证/个人信息/单点	查看附近的好友	人人网
4	有验证/个人信息/轨迹	实时共享我的位置	微信
5	无验证/社会信息/单点	查看当前附近的加油站	百度地图
6	无验证/社会信息/轨迹	为我导航至哈尔滨工业大学	高德地图
7	无验证/个人信息/单点	查看附近的人	微信
8	无验证/个人信息/轨迹	发现附近参与玩家最多的游戏	SCVNGR

位置隐私保护技术				LBS分类
位置隐私保护技术	1	2	3	45	6	7	8
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泛化法文献[22]文献[16]				√√	√√	√√	√√
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模糊法文献[9]文献[10]文献[11]	√√√	√√√	√√√	√√√√√√	√√√	√√√	√√√
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掩盖法文献[20]文献 [12]	√	√		√√	√√	√	√
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加密法文献[26]文献[27]	√	√	√√	√√√	√	√√	√√
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