A Framework For Enhancing Privacy In Location Based Services Using K-Anonymity Model
Jane Mugi, Michael Waema Kimwele, George Onyango Okeyo · International journal of scientific and technology research · 2015
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.