Automatic Detection of Fake Profiles in Online Social Networks

Kumar , Nitesh and Reddy, Ranabothu Nithin (2012) Automatic Detection of Fake Profiles in Online Social Networks. BTech thesis.



In the present generation, the social life of everyone has become associated with the online social networks. These sites have made a drastic change in the way we pursue our social life. Making friends and keeping in contact with them and their updates has become easier. But with their rapid growth, many problems like fake profiles, online impersonation have also grown. There are no feasible solution exist to control these problems. In this project, we came up with a framework with which automatic detection of fake profiles is possible and is efficient. This framework uses classification techniques like Support Vector Machine, Naïve Bayes and Decision trees to classify the profiles into fake or genuine classes. As, this is an automatic detection method, it can be applied easily by online social networks which has millions of profile whose profiles can not be examined manually.

Item Type:Thesis (BTech)
Uncontrolled Keywords:Fake Profiles, Classification, Naive Bayes, Decision Tree, Support Vector Machine, Facebook, Real Profiles
Subjects:Engineering and Technology > Computer and Information Science > Data Mining
Engineering and Technology > Computer and Information Science > Information Security
Divisions: Engineering and Technology > Department of Computer Science
ID Code:3578
Deposited By:Mr. Nitesh Kumar
Deposited On:28 May 2012 16:17
Last Modified:20 Dec 2013 09:54
Supervisor(s):Babu , K S

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