A SURVEY OF FRAUD DETECTION TECHNIQUES IN SOCIAL MEDIAJournal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.4, No. 11)
Publication Date: 2015-11-30
Authors : Leena Shibu; Dr.Ajeet Chikkamannur;
Page : 287-290
Keywords : Fraud detection; computer intrusion; data mining; knowledge discovery; neural network.;
Due to the increase of fraud which results in loss of billions of dollars worldwide each year, several modern techniques in detecting fraud are continually evolved and applied to many business fields in social media. Fraud detection involves observing the performance of populations of users in order to estimate, detect, or avoid undesirable behavior. Undesirable behavior is a broad term including delinquency fraud, intrusion, and account defaulting. This paper presents a survey of current techniques used in social media fraud detection. The goal of this paper is to provide a comprehensive review of different techniques to detect frauds in social media.
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Last modified: 2015-11-17 12:30:40