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A robust system detector for clone attacks on facebook platform.

Author(s)
Sadia Department of Computer Science, University of Peshawar, Peshawar, Pakistan
Azhar Rauf Department of Computer Science, University of Peshawar, Peshawar, Pakistan
Shah Khusro Department of Computer Science, University of Peshawar, Peshawar, Pakistan
Saeed Mahfooz Department of Computer Science, University of Peshawar, Peshawar, Pakistan
Rashid Ahmad Department of Computer Science, University of Peshawar, Peshawar, Pakistan
Abstract
Social networks provide means to connect people all over the world through social media At times, social media are misused which puts users` data at risk. This paper discusses a type of security attack in which a fake user represents as a valid user and leaks other users` personal information. This type of attack is known as an identity clone attack. A three-step process has been proposed in the presented paper to identify clone attacks which minimises the chances of information leakage. Experimental tests were performed on 500 samples of online Facebook user profiles which have shown promising results.
Publication Details
Page(s) 71-80
DOI DOI not available
Published Journal: NED University Journal of Research, Volume: 8, Issue: 4, Year: 2016

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