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Improved Privacy Preserving Score-Based Location K-Anonymity in LBS

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 103))

Abstract

The extensive use of the location-based services in today’s communication world has created tremendous interest. Considering the importance of these services, the demand for applications using location-based services is also growing rapidly. While working with the applications of these services, there are many threats related to the issue of security. Security to the user’s data is to be provided from the unauthorized parties in the network. The main idea lies in preserving the privacy of the user using anonymization techniques. In this paper, a method for improving the location privacy of the user is proposed by the popular K-anonymity technique, and the implementation algorithm is also discussed.

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Yeluri, L.P., Madhusudhana Reddy, E. (2020). Improved Privacy Preserving Score-Based Location K-Anonymity in LBS. In: Saini, H., Sayal, R., Buyya, R., Aliseri, G. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 103. Springer, Singapore. https://doi.org/10.1007/978-981-15-2043-3_68

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  • DOI: https://doi.org/10.1007/978-981-15-2043-3_68

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2042-6

  • Online ISBN: 978-981-15-2043-3

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