Survey Paper on Users Location Hiding In Geosocial Recommendation Applications

FourSquare is one of the Geosocial application in which lots of communities interrelate with their surrounding environment through their friends and their recommendations. Regarding the security issues Geosocial application can simply misused, for instance to trace the user or target them for home invasions. Therefore providing the privacy to the Geosocial application is the research issue, existing system provides location privacy without adding uncertainty into the query results or relying on strong assumptions about server security. In existing systems the user send message to the another user is of bigger size, therefore the expenses of the server database is increases on existing system. Therefore in the proposed system which provides the security to the user's location as well as uses compression algorithm to compress and decompress the message so that that the message retrieval time will be lesser than the previous system. By using our proposed system cost of the server database will decrease and the time required for transmitting the message is also decreases. The system encrypts the message for the security purpose. The proposed method provides privacy and improves the performance of the Geosocial application. The proposed system also uses keyed tags and random tags which balance the privacy and performance of the system. The keyed tag provides strong privacy and random tags provide privacy and high efficiency to the system.