Issue |
MATEC Web Conf.
Volume 76, 2016
20th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
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Article Number | 04013 | |
Number of page(s) | 6 | |
Section | Computers | |
DOI | https://doi.org/10.1051/matecconf/20167604013 | |
Published online | 21 October 2016 |
Methods of Profile Cloning Detection in Online Social Networks
Institute of Computer and Information Systems, Military University of Technology, Warsaw, Poland
a Corresponding author: zbigniew.tarapata@wat.edu.pl
With the arrival of online social networks, the importance of privacy on the Internet has increased dramatically. Thus, it is important to develop mechanisms that will prevent our hidden personal data from unauthorized access and use. In this paper an attempt was made to present a concept of profile cloning detection in Online Social Networks (OSN) using Graph and Networks Theory. By analysing structural similarity of network and value of attributes of user personal profile, we will be able to search for attackers which steal our identity.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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