Detection of Authenticity in Social Networks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Social networks are the most convenient and effective means of communication in past few years. Our study aims to verify the owners of social accounts, in order to eliminate the effect of any fake accounts on the people. This study aims to differentiate between genuine accounts versus fake accounts by using writeprint identification method which is writing style biometric. We will first extract all the features using text mining techniques. The most important part of this process is machine learning in which we will train our system according to our usage and then we derive our knowledge database. From this database we will derive different vectors in accordance with the features extracted.
Authors and Affiliations
Rajeshkumar Mourya, Varun Kulkarni, Rohit Kadam, Mukesh Rajpurohit
Keywords
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