A Review on Data Mining Methods for Identity Crime Detection

Identity Crime is well known, established, and costly. Identity Crime is the term used to refer to all types of crime in which someone wrongfully obtains and uses another person’s personal data in some way that involves fraud or deception, typically for economic gain. Forgery and use of fraudulent identity documents are major enablers of Identity Fraud. It has affected the e-commerce. It is increasing significantly with the development of modern technology and the global superhighways of communication, resulting in the loss of lots of money worldwide each year. Also along with transaction the application domain such as credit application is hit by this crime. These are growing concerns for not only governmental bodies but business organizations also all over the world. This paper gives a brief summary of the identity fraud. Also it discusses various data mining techniques used to overcome it.