Identity Crime Detection Using Data Mining

Identity Crime is considered as crimes which involve masquerading one's identity and steal confidential information with respect to the concerned person's identity. This paper mainly deals with identity crime related to credit card application, which nowadays is quite prevalent and costly even. The existing non data-mining techniques for eliminating identity theft have some flaws and to combat them a new data-mining layer of defence has been proposed. This novel layer makes use of two algorithms-Communal Detection and Spike Detection for detecting frauds in applications.