Social networks have become a convenient and effective means of communication in recent years. Many people use social networks to communicate, lead, and manage activities, and express their opinions in supporting or opposing different causes. This has brought forward the issue of verifying the owners of social accounts, in order to eliminate the effect of any fake accounts on the people. This study aims to authenticate the genuine accounts versus fake account using writeprint, which is the writing style biometric. We first extract a set of features using text mining techniques. Then, training of a supervised machine learning algorithm to build the knowledge base is conducted. The recognition procedure starts by extracting the relevant features and then measuring the similarity of the feature vector with respect to all feature vectors in the knowledge base. Then, the most similar vector is identified as the verified account.
History
Event
IEEE Systems, Man and Cybernetics. Conference (2013 : Manchester, England)
Pagination
3079 - 3082
Publisher
IEEE
Location
Manchester, England
Place of publication
Piscataway, N.J.
Start date
2013-10-13
End date
2013-10-16
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2013, IEEE
Title of proceedings
SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics