Anonymization algorithms for location privacy protection: A survey

Mi Ran Lee, Won Woo Lee, Beakcheol Jang

Research output: Contribution to journalArticlepeer-review

Abstract

With the recent increase in the use of location-based services (LBSs) due to the development of wireless communication technology and positioning technology, we have started to recognize location data as an important resource. With advanced positioning technology, it is possible to acquire accurate location data, but users are at risk of privacy exposure. Currently, many researchers are studying privacy algorithms for data anonymization. However, few studies have applied location data. In this paper, we introduce an anonymization algorithm for location privacy of the LBS model. Then we classify each algorithm into location k-anonymity and location differential privacy, and compare and analyze each algorithm.

Original languageEnglish
Pages (from-to)291-298
Number of pages8
JournalJP Journal of Heat and Mass Transfer
Volume15
Issue numberSpecial Issue 2
DOIs
Publication statusPublished - 2018 Jul

Bibliographical note

Publisher Copyright:
© 2018 Pushpa Publishing House, Allahabad, India.

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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