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Automatic Detection of Fake Profile on Social Networking Sites
12-25-2013, 10:57 PM
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Automatic Detection of Fake Profile on Social Networking Sites
This thesis-Project report is submitted as a part of M Tech in Computer Engineering.You can take help of this thesis to prepare your M Tech B Tech Final year project report.

Abstract:-

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 profi les,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 pro files is possible and is ecient. This framework uses classi cation techniques like Support Vector Machine, Nave Bayes and Decision trees to classify the profi les 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 profi le whose profi les can not be examined manually.


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.pdf  Automatic Detection of Fake Profiles.pdf (Size: 1.97 MB / Downloads: 67)
 


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