A privacy-preserving framework for outsourcing location-based services to the cloud
- Published: 01 Jan 2019
- Publisher: Department of Informatics, University of Oslo
- Case Western Reserve University United States
- Bilkent University Turkey
- University of Oslo Norway
[1] O. Sotamaa, “All the world's a botfighter stage: Notes on locationbased multi-user gaming.” in CGDC Conf., 2002.
[2] H. Hodson, “Google's ingress game is a gold mine for augmented reality,” New Scientist, vol. 216, 2012.
[3] M. Gruteser and D. Grunwald, “Anonymous usage of locationbased services through spatial and temporal cloaking,” in Proceedings of the 1st international conference on Mobile systems, applications and services. ACM, 2003, pp. 31-42.
[4] M. F. Mokbel, C.-Y. Chow, and W. G. Aref, “The new casper: query processing for location services without compromising privacy,” in Proceedings of the 32nd international conference on Very large data bases. VLDB Endowment, 2006, pp. 763-774.
[5] B. Gedik and L. Liu, “Protecting location privacy with personalized k-anonymity: Architecture and algorithms,” IEEE Transactions on Mobile Computing, vol. 7, 2008.
[6] A. R. Beresford and F. Stajano, “Location privacy in pervasive computing,” IEEE Pervasive computing, vol. 2, 2003. [OpenAIRE]
[7] R. Shokri, G. Theodorakopoulos, C. Troncoso, J.-P. Hubaux, and J.-Y. Le Boudec, “Protecting location privacy: optimal strategy against localization attacks,” in Proceedings of the 2012 ACM conference on Computer and communications security. ACM, 2012, pp. 617-627. [OpenAIRE]
[8] M. E. Andre´s, N. E. Bordenabe, K. Chatzikokolakis, and C. Palamidessi, “Geo-indistinguishability: Differential privacy for location-based systems,” in Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security. ACM, 2013, pp. 901-914. [OpenAIRE]
[9] G. Ghinita, P. Kalnis, A. Khoshgozaran, C. Shahabi, and K.-L. Tan, “Private queries in location based services: anonymizers are not necessary,” in Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, 2008, pp. 121-132. [OpenAIRE]
[10] J. Shao, R. Lu, and X. Lin, “Fine: A fine-grained privacy-preserving location-based service framework for mobile devices,” in INFOCOM, 2014.
[11] L. Li, R. Lu, and C. Huang, “Eplq: Efficient privacy-preserving location-based query over outsourced encrypted data,” IEEE Internet of Things Journal, vol. 3, no. 2, pp. 206-218, 2016.
[12] M. harkey. (2016) Foursquare + uber! [Online]. Available: https:// medium.com/foursquare-direct/foursquare-uber-4e24dc7f829d
[13] S. Kim, K. Lewi, A. Mandal, H. Montgomery, A. Roy, and D. J. Wu, “Function-hiding inner product encryption is practical,” Cryptology ePrint Archive, Report 2016/440, 2016. http://eprint. iacr. org, Tech. Rep., 2016.
[14] OpenStreetMap contributors. (2017) Planet dump retrieved from https://planet.osm.org. [Online]. Available: https://www. openstreetmap.org
[15] J. Krumm, “A survey of computational location privacy,” Personal and Ubiquitous Computing, vol. 13, no. 6, pp. 391-399, 2009.
Related research
- Case Western Reserve University United States
- Bilkent University Turkey
- University of Oslo Norway
[1] O. Sotamaa, “All the world's a botfighter stage: Notes on locationbased multi-user gaming.” in CGDC Conf., 2002.
[2] H. Hodson, “Google's ingress game is a gold mine for augmented reality,” New Scientist, vol. 216, 2012.
[3] M. Gruteser and D. Grunwald, “Anonymous usage of locationbased services through spatial and temporal cloaking,” in Proceedings of the 1st international conference on Mobile systems, applications and services. ACM, 2003, pp. 31-42.
[4] M. F. Mokbel, C.-Y. Chow, and W. G. Aref, “The new casper: query processing for location services without compromising privacy,” in Proceedings of the 32nd international conference on Very large data bases. VLDB Endowment, 2006, pp. 763-774.
[5] B. Gedik and L. Liu, “Protecting location privacy with personalized k-anonymity: Architecture and algorithms,” IEEE Transactions on Mobile Computing, vol. 7, 2008.
[6] A. R. Beresford and F. Stajano, “Location privacy in pervasive computing,” IEEE Pervasive computing, vol. 2, 2003. [OpenAIRE]
[7] R. Shokri, G. Theodorakopoulos, C. Troncoso, J.-P. Hubaux, and J.-Y. Le Boudec, “Protecting location privacy: optimal strategy against localization attacks,” in Proceedings of the 2012 ACM conference on Computer and communications security. ACM, 2012, pp. 617-627. [OpenAIRE]
[8] M. E. Andre´s, N. E. Bordenabe, K. Chatzikokolakis, and C. Palamidessi, “Geo-indistinguishability: Differential privacy for location-based systems,” in Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security. ACM, 2013, pp. 901-914. [OpenAIRE]
[9] G. Ghinita, P. Kalnis, A. Khoshgozaran, C. Shahabi, and K.-L. Tan, “Private queries in location based services: anonymizers are not necessary,” in Proceedings of the 2008 ACM SIGMOD international conference on Management of data. ACM, 2008, pp. 121-132. [OpenAIRE]
[10] J. Shao, R. Lu, and X. Lin, “Fine: A fine-grained privacy-preserving location-based service framework for mobile devices,” in INFOCOM, 2014.
[11] L. Li, R. Lu, and C. Huang, “Eplq: Efficient privacy-preserving location-based query over outsourced encrypted data,” IEEE Internet of Things Journal, vol. 3, no. 2, pp. 206-218, 2016.
[12] M. harkey. (2016) Foursquare + uber! [Online]. Available: https:// medium.com/foursquare-direct/foursquare-uber-4e24dc7f829d
[13] S. Kim, K. Lewi, A. Mandal, H. Montgomery, A. Roy, and D. J. Wu, “Function-hiding inner product encryption is practical,” Cryptology ePrint Archive, Report 2016/440, 2016. http://eprint. iacr. org, Tech. Rep., 2016.
[14] OpenStreetMap contributors. (2017) Planet dump retrieved from https://planet.osm.org. [Online]. Available: https://www. openstreetmap.org
[15] J. Krumm, “A survey of computational location privacy,” Personal and Ubiquitous Computing, vol. 13, no. 6, pp. 391-399, 2009.
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