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Abstract
Location based services available in the smart phones are used to gain information about the surroundings. Users query the location based server by passing their position information thereby losing their privacy. A user collaborative approach to preserve the location privacy was introduced, where the users are hidden from the server when the information is already available among any peer device. This approach cannot be used when the users are not ready to cooperate or the informed users are outside the range of communication of user seeking the information. So in this system a common authentication server is used to store the response from the location based server when any user accesses context information for the first time. This information in authentication server can now be used by other users who require the same information without contacting the server even when the informed users are not nearby. Thus the privacy of the users is found to increase in a considerable manner.
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References
2. A.R. Beresford and F. Stajano, “Mix Zones: User Privacy in Location-Aware Services,†Proc. Second IEEE Ann. Conf. Pervasive Computing and Comm. Workshops (PERCOMW ’04), p. 127, 2004.
3. Panos Kalnis, Gabriel Ghinita, Kyriakos Mouratidis and Dimitris Papadias, “Preventing Location-Based Identity Inference in Anonymous Spatial Queriesâ€, Proc. IEEE Trans. on Knowledge and Data Engineering, Vol. 19 , Issue: 12 ,p. 1719 – 1733
4. Man Lung Yiu , Christian S. Jensen, Xuegang Huang and Hua Lu, “SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Servicesâ€, Proc. IEEE 24 th international conference on Data Engineering, 2008, p. 366 – 375.
5. Pingley, A. Wei Yu ; Nan Zhang ; Xinwen Fu ; Wei Zhao , “CAP: A Context-Aware Privacy Protection System for Location-Based Servicesâ€, Proc. 29th IEEE international conference on Distributed Computing Systems, 2009. ICDCS '09, p. 49 – 57
6. M.E. Andr_es, N.E. Bordenabe, K. Chatzikokolakis, and C. Palamidessi,“ Geo-Indistinguish ability: Differential Privacy for Location-Based Systems,†Proc. ACM SIGSAC Conf. Computer and Comm. Security, 2013.
7. Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, and Jean-Pierre Hubaux, “Hiding in the Mobile Crowd: Location Privacy through Collaborationâ€, IEEE Trans. on Dependable and Secure Computing, vol. 11, No.3, p. 266 - 279