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A Framework For Enhancing Privacy In Location Based Services Using K-Anonymity Model

Journal: International Journal of Scientific & Technology Research (Vol.4, No. 11)

Publication Date:

Authors : ; ; ;

Page : 129-132

Keywords : Index Terms Anonynizer; Anonymized Spatial Region; K-Anonymity; Location Based Services; Point of Interest.;

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Abstract

Abstract This paper presents a framework for enhancing privacy in Location Based Services using K-anonymity model. Users of location based services have to reveal their location information in order to use these services however this has threatened the user privacy. K-anonymity approach has been studied extensively in various forms. However it is only effective when the user location is fixed. When a user moves and continuously sends their location information the location service provider can approximate user trajectory which poses a threat to the trajectory privacy of the user. This framework will ensure that user privacy is enhanced for both snapshot and continuous queries. The efficiency and effectiveness of the proposed framework was evaluated the results indicate that the proposed framework has high success rate and good run time performance.

Last modified: 2016-04-24 17:47:30