Location-semantic-based location privacy protection for road network

被引:0
|
作者
Chen H. [1 ,2 ,3 ]
Qin X.-L. [1 ,3 ]
机构
[1] College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing
[3] Jiangsu Key Laboratory of Internet of Things and Control Technology, Nanjing
来源
基金
中国国家自然科学基金;
关键词
Location semantic; Popularity; Privacy protection; Road network; Sensitivity;
D O I
10.11959/j.issn.1000-436x.2016157
中图分类号
学科分类号
摘要
Mobile users suffer location privacy leakage threat as enjoy location-based services (LBS). Therefore, it was important to provide effective policy for location privacy protection. Conventional protection approaches were mainly based on spatial cloaking, which leads to the anonymous effectiveness suffer great reduction if the attacker obtains more background knowledge with respect to the cloaking region, especially semantic information of the location. To prevent sensitive location information leakage for the location semantics being analyzed, and consider the characteristic that most users move on road networks, a location-semantic-based location privacy protection method for road networks was proposed. The proposed method considers users' personalized privacy requirements well. The feasibility and effectiveness of the proposed method are verified through experiments for many scenarios. © 2016, Editorial Board of Journal on Communications. All right reserved.
引用
收藏
页码:67 / 76
页数:9
相关论文
共 28 条
  • [1] Chen X., Pang J., Protecting query privacy in location-based services, GeoInformatica, 18, 1, pp. 95-133, (2014)
  • [2] Zhou A.Y., Yang B., Jin C.Q., Et al., Location-based services: architecture and progress, Chinese Journal of Computers, 34, 7, pp. 1155-1171, (2011)
  • [3] Duckham M., Kulik L., Location privacy and location-aware computing, Dynamic & Mobile GIS: Investigating Change in Space and Time, 3, pp. 35-51, (2006)
  • [4] Mokbel M.F., Privacy in location-based services: state-of-the-art and research directions, The 8th International Conference on Mobile Data Management (MDM'07), (2007)
  • [5] Gruteser M., Grunwald D., Anonymous usage of location-based services through spatial and temporal cloaking, The First International Conference on Mobile Systems, Applications, and Services, pp. 31-42, (2003)
  • [6] Mokbel M.F., Chow C.Y., Aref W.G., The new casper: Query processing for location services without compromising privacy, VLDB, pp. 763-774, (2006)
  • [7] Kalnis P., Ghinita G., Mouratidis K., Et al., Preventing location-based identity inference in anonymous spatial queries, IEEE Transactions on Knowledge and Data Engineering, 19, 12, pp. 1719-1733, (2007)
  • [8] Mascetti S., Bettini C., Wang X.S., Et al., ProvidentHider: an algorithm to preserve historical k-anonymity in LBS, The 10th IEEE International Conference on Mobile Data Management, pp. 172-181, (2009)
  • [9] Zhang C., Huang Y., Cloaking locations for anonymous location based services: a hybrid approach, GeoInformatica, 13, 2, pp. 159-182, (2009)
  • [10] Tran M.T., Echizen I., Duong A.D., Binomial-mix-based location anonymizer system with global dummy generation to preserve user location privacy in location-based services, 2010 International Conference on Availability, Reliability and Security, pp. 580-585, (2010)