Dummy-Based User Location Anonymization Under Real-World Constraints

Abstract

Dummy-Based User Location Anonymization Under Real-World Constraints  project report on web mining According to the growth of mobile devices equipped with a GPS receiver, a variety of location based services (LBSs) have been launched. Since location information may reveal private information, preserving location privacy has become a significant issue. Previous studies proposed methods to preserve a users’ privacy; however, most of them do not take physical constraints into consideration.

In this Dummy-Based User Location Anonymization Under Real-World Constraints project report on web mining paper, we focus on such constraints and propose a location privacy preservation method that can be applicable to a real environment. In particular, our method anonymizes the user’s location by generating dummies which we simulate to behave like real human. It also considers traceability of the user’s locations to quickly recover from an accidental reveal of the user’s location.

Conclusion

Dummy-Based User Location Anonymization Under Real-World Constraints project report on web mining We proposed a method to anonymize a user’s location to preserve location privacy in a real environment when using LBSs with mobile devices. The  Dummy-Based User Location Anonymization Under Real-World Constraints project report on web mining proposed method generates and arrays dummies around the user in a grid formation considering geographical constraints. It simulates dummies’ movement to be natural so that an LBS provider cannot distinguish the user from dummies.

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