International Journal of Advanced Information and Communication Technology


A Survey on ProfilR: Towards Preserving Privacy and Functionality in Geosocial Networks

J. Aneeta Maria, R. Shanmugapriya, S. Veena, Mishmala Sushith, Kalaignar Karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India.

DOI : 01.0401/ijaict.2015.11.04

International Journal of Advanced Information and Communication Technology

Received On : December 12, 2018

Revised On : January 19, 2018

Accepted On : February 10, 2018

Published On : March 05, 2018

Volume 05, Issue 03

Pages : 830-833

Abstract


The sharing of one’s own personal data in the online social networks has become such a sort of common task. In this paper we have reviewed the concepts of the techniques that enable us to locate our buddies online, the reasons for the leakage of our personal data to the third party vendors which are being used for the purposes of targeted ads. This paper also enlightens the anonymity for continuous queries, secure function evaluation technique, L-diversity method. The various privacy measures for the different environment has also been studied in detail.

Keywords


Location, Online Social Networks, Privacy, Security Sharing

Cite this article


J. Aneeta Maria, R. Shanmugapriya, S. Veena, Mishmala Sushith, “A Efficient Role Mining –RBAM with Constraint Satisfaction Problem” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.807-813, March 05, 2018.

Copyright


© 2018 J. Aneeta Maria, R. Shanmugapriya, S. Veena, Mishmala Sushith. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.