An Optimal Framework for Preserving Location Privacy in Geosocial Networks
Keywords:
geosocial networks, security, privacy, secure computing, location based serviceAbstract
Analysing the conflict of privacy in geo social networks, steps are taken towards addressing the conflict. A novel approach is proposed to define the location and user based safety metrics. Secret Key cryptography is used for private information retrieval that allows a user to retrieve information. The approach is based on the construction of the framework which relies on the concept of LCPs, the profiles which are built from the profiles of users that have visited a certain location and DCPs a set of co-located users. The key insight is to apply secure user-specific, distance-preserving coordinate transformations to all location data shared with the server. An Encryption technique, AES is further applied to enhance the security such that a technique which the users are allowed to communicate from a database server without revealing what is actually being retrieved from the server. This allows all location queries to be evaluated correctly by the server, but our privacy mechanisms guarantee that servers are unable to infer the actual location data from the transformed data.
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