Attributed Identity Resolution for Fraud Detection and Prevention

Many knowledge discovery in databases (KDD) could be applied to crime investigation. Unfortunately, most of them are ineffective and only provide postmortem results for the crime investigation. As we detect the suspicious events, the crime has been committed. Since many crime- and terrorism related activities often involve identity frauds, we have a very strong motive why not to develop some new technique for identity fraud detection and prevention. This paper presents how our research results can be applied to help the prevention of identity fraud. We believe if we can detect identity fraud early, we can prevent if from occurring and hence protect people from identity theft.