Abstract
With the advancement of technology and enhanced techniques of the global positioning system, the use of location-based services has significantly increased in the last decade. With the increase in the use of these services, there is also a rise in concern for the preservation of location privacy. There have been some cases where location data was disclosed, which even led to some serious crimes. Preservation of location privacy becomes a must in these situations. There are various techniques for preserving location privacy. Some use an anonymizer in between location-based services (LBS) and user, while other uses a distributed architecture for preserving location privacy. In this paper, a blockchain-based decentralized architecture for preserving location privacy is proposed. Earlier users had to trust either the anonymizer or the LBS for retrieving the query results, but with this proposed solution, advancement toward zero trust model would be possible.
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References
Beresford AR, Stajano F (2003) Location privacy in pervasive computing. IEEE Pervasive Comput 1:46–55
Chow CY, Mokbel MF, Liu X (2006) A peer-to-peer spatial cloaking algorithm for anonymous location-based service. In: Proceedings of the 14th annual ACM international symposium on advances in geographic information systems. ACM, pp 171–178
Gedik B, Liu L (2005) Location privacy in mobile systems: a personalized anonymization model. In: Proceedings of the 25th IEEE international conference on distributed computing systems (ICDCS 2005). IEEE, pp 620–629
Gruteser M, Grunwald D (2003) Anonymous usage of location-based services through spatial and temporal cloaking. In: Proceedings of the 1st international conference on mobile systems, applications and services. ACM, pp 31–42
Gupta R, Rao UP (2017) Achieving location privacy through cast in location based services. J Commun Networks 19(3):239–249
Gupta R, Rao UP (2017) An exploration to location based service and its privacy preserving techniques: a survey. Wirel Pers Commun 96(2):1973–2007
Gupta R, Rao UP (2017) A hybrid location privacy solution for mobile lbs. Mob Inform Syst
Gupta R, Rao UP (2018) Privacy protection through hiding location coordinates using geometric transformation techniques in location-based services enabled mobiles. In: Cyber security: proceedings of CSI 2015. Springer, Berlin, pp 1–10
Kalnis P, Ghinita G, Mouratidis K, Papadias D (2007) Preventing location-based identity inference in anonymous spatial queries. IEEE Trans Knowl Data Eng 19(12):1719–1733
Kanza Y, Safra E (2018) Cryptotransport: blockchain-powered ride hailing while preserving privacy, pseudonymity and trust. In: Proceedings of the 26th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 540–543
Kido H, Yanagisawa Y, Satoh T (2005) An anonymous communication technique using dummies for location-based services. In: Proceedings of international conference on pervasive services (ICPS’05). IEEE, pp 88–97
Miura K, Sato F (2013) Evaluation of a hybrid method of user location anonymization. In: Proceedings of eighth international conference on broadband and wireless computing, communication and applications (BWCCA). IEEE, pp 191–198
Mokbel MF, Chow CY, Aref WG (2006) 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, pp 763–774
Yang M, Zhu T, Liang K, Zhou W, Deng RH (2019) A blockchain-based location privacy-preserving crowdsensing system. Fut Gener Comput Syst 94:408–418
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Yadav, R., Nimkarde, S., Jat, G., Rao, U.P., Parmar, D. (2020). Preserving Location Privacy Using Blockchain. In: Patel, D., et al. IC-BCT 2019. Blockchain Technologies. Springer, Singapore. https://doi.org/10.1007/978-981-15-4542-9_1
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DOI: https://doi.org/10.1007/978-981-15-4542-9_1
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