GOTCHA! Network-Based Fraud Detection for Social Security Fraud

GOTCHA! Network-Based Fraud Detection for Social Security Fraud

Authors are encouraged to submit new papers to INFORMS journals by means of a style file template, which includes the journal title. However, use of a template does not certify that the paper has been accepted for publication in the named journal. INFORMS journal templates are for the exclusive purpose of submitting to an INFORMS journal and should not be used to distribute the papers in print ...

MEFUASN: A Helpful Method to Extract Features using Analyzing Social Network for Fraud Detection

Fraud detection is one of the ways to cope with damages associated with fraudulent activities that have become common due to the rapid development of the Internet and electronic business. There is a need to propose methods to detect fraud accurately and fast. To achieve to accuracy, fraud detection methods need to consider both kind of features, features based on user level and features based o...

A Framework for Occupational Fraud Detection by Social Network Analysis

This paper explores issues related to occupational fraud detection. We observe over the past years, a broad use of network research across social and physical sciences including but not limited to social sharing and filtering, recommendation systems, marketing and customer intelligence, counter intelligence and law enforcement. However, the rate of social network analysis adoption in organizati...

Implementing social network analysis for fraud prevention

Fraud detection and analysis has traditionally involved a silo approach. Rarely does an investigator look across product lines to identify fraudulent connections. However, with the introduction of social network analysis (SNA), investigators are now able to detect data patterns within and across product lines as a potential crime ring or group is developing, saving companies from losses as the ...

Social Network Analysis Approaches for Fraud Analytics_V5