[1] Fechner T, Kray C. Attacking location privacy: exploring human strategies [C] //Proc of 2012 ACM conference on ubiquitous computing. New York: ACM, 2012: 95-98
[2] Busic L, Filjar R. The role of position reporting frequency in LBS QoS establishment [C] //Proc of 2006 International Conference on Software in Telecommunications and Computer Networks. Piscataway, NJ: IEEE, 2006: 209-213
[3] Xiangyu Zhang, Qiang Zhang, Mingqi Lv. Personalized POI recommendation based on GPS trajectory mining[J]. Chinese High Technology Letters, 2021, 31(01):75-8 (in Chinese)
(张翔宇, 张强, 吕明琪. 基于GPS轨迹挖掘的兴趣地点个性化推荐方法[J]. 高技术通讯, 2021, 31(01):75-83)
[4] Talat R, Obaidat M S, Muzammal M, et al. A decentralised approach to privacy preserving trajectory mining [J]. Future Generation Computer Systems, 2020, 102: 382-392
[5] Liu X, Li M, Xia X, et al. Spatio-temporal features based sensitive relationship protection in social networks [C]/ / Proc of International Conference on Web Information Systems and Applications. Cham, Switzerland: Springer: 2018: 330-343
[6] Kato R, Iwata M, Hara T, et al. A dummy-based anonymization method based on user trajectory with pauses [C]// Proc of 20th International Conference on Advances in Geographic Information Systems. New York: ACM, 2012: 249-258
[7] Lei K, Li X, Hai L I U, et al. Dummy trajectory privacy protection scheme for trajectory publishing based on the spatiotemporal correlation [J]. Journal on Communications, 2016, 37(12): 156-164 (in Chinese)
(雷凯跃, 李兴华, 刘海, 等. 轨迹发布中基于时空关联性的假轨迹隐私保护方案[J]. 通信学报, 2016, 37(12): 156-164)
[8] Kido H, Yanagisawa Y, Satoh T. An anonymous communication technique using dummies for location-based services [C]// Proc of ICPS'05. Proceedings. International Conference on Pervasive Services.2005. Piscataway, NJ: IEEE, 2005: 88-97
[9] Gao S, Ma J, Sun C, et al. Balancing trajectory privacy and data utility using a personalized anonymization model [J]. Journal of Network and Computer Applications, 2014, 38: 125-134
[10] Xu Z, Zhang J, Tsai P, et al. Spatiotemporal Mobility Based Trajectory Privacy-Preserving Algorithm in Location-Based Services [J]. Sensors, 2021, 21(6)
[11] Niu B, Li Q, Zhu X, et al. Enhancing privacy through caching in location-based services [C]// Proc of 2015 IEEE conference on computer communications (INFOCOM). Piscataway, NJ: IEEE, 2015: 1017-1025
[12] Wang S, Chen C, Zhang G. Mincer Algorithm: Privacy Protection for Publishing Trajectories Dynamically [C]// Proc of 2020 12th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Piscataway, NJ: IEEE, 2020, 1: 121-124
[13] Miwen Deng. Side Information Fusion Dual Anonymous Location Privacy Protection Scheme[J]. Journal of Information Security Research, 2020, 6(05): 421-426(in Chinese)
(邓密文. 融合边信息的双重匿名位置隐私保护方案[J]. 信息安全研究, 2020, 6(05): 421-426)
[14] Chen R, Fung B C M, Mohammed N, et al. Privacy-preserving trajectory data publishing by local suppression[J]. Information Sciences, 2013, 231: 83-97
[15] Guo-qing W, Sen Z, Weiwei N. A perturbation-based privacy preserving trajectory publication method[J]. Journal of Southeast University (Natural Science Edition), 2014, 44(1): 51-57 (in Chinese)
(翁国庆, 张森, 倪巍伟. 一种基于扰动的轨迹数据隐藏发布方法[J]. 东南大学学报(自然科学版), 2014, 44(01): 51-57)
[16] Duckham M, Kulik L. A formal model of obfuscation and negotiation for location privacy [C]// Proc of International conference on pervasive computing. Berlin, Heidelberg: Springer, 2005: 152-170
[17] Ardagna C A, Cremonini M, Damiani E, et al. Location privacy protection through obfuscation-based techniques [C]// Proc of IFIP Annual Conference on Data and Applications Security and Privacy. Berlin, Heidelberg: Springer, 2007: 47-60
[18] Zheng Y, Zhang L, Xie X, et al. Mining interesting locations and travel sequences from GPS trajectories [C]// Proc of 18th international conference on World wide web. New York: ACM, 2009: 791-800
[19] Zheng Y, Li Q, Chen Y, et al. Understanding mobility based on GPS data [C]// Proc of 10th international conference on Ubiquitous computing. New York: ACM, 2008: 312-321
[20] Zheng Y, Xie X, Ma W Y. Geolife: A collaborative social networking service among user, location and trajectory [J]. IEEE Data Eng. Bull., 2010, 33(2): 32-39
|