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Identity Crime Detection: A Review


Author : K.R.Gavhane, R.S.Chennaram and J.E.Nalavade

Pages : 884-886
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Abstract

In this paper, we detects identity crime, verify them and if this is identity crime we ban there application or check there documents. If after checking documents we found this is real user then we accept them. If we found crime then we ban them. Data mining is best solution for Identity crime detection. Another way, we also used CD algorithm and SD algorithm. In CD algorithm i.e. Communal Detection we found actual social relationship. Using CD algorithm we search for crime using linking. This is the best way for Identity Crime Detection. Fraud detection using mining is time saving, costless and efficient in nature. SD is spike detection finds spikes in duplicates to increase the suspicion score. Instead of SD algorithm we used to upload documents. Documents upload is another best way for verifying identity crime. We make use of this for Credit application as well as Home loan application. With refer of another paper we used this for many useful purposes.

Keywords: Data mining-based fraud detection, security, Documents.

 

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