Research Summaries

Back Open Source Identity and Fraud Detection

Fiscal Year 2018
Division Graduate School of Operational & Information Sciences
Department Operations Research
Investigator(s) Dell, Robert F.
Huddleston, Samuel
Sponsor Defense Intelligence Agency (DoD)
Summary The Defense Intelligence Agency (DIA) routinely provides a full range of administrative support to diverse DoD programs, offices, and activities that do not have access to other support capabilities or that have unique support requirements. This support requires the processing and analysis of multiple datasets on organizations, people, and financial transactions. These efforts require the ability to conduct entity resolution, deduplication, address verification/exploration, anomaly detection, and fraud detection at scale. While there are open-source programming tools available for performing the required analysis, these tools require the ability to apply advanced mathematical modeling and programming techniques. The Naval Postgraduate School Data Science and Analytics Group (DSAG) will provide an open-source identity and financial fraud detection suite of tools (software) to support DIA analysis by providing flexible, extendible fraud detection software built using open-source tools. These tools will provide user interfaces that allow DIA analysts to leverage custom-designed, state-of-the-art analytic methodologies to support their research.
Keywords Financial Fraud Detection Identity Fraud Detection Software analytics
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal