Date of Award
3-21-2019
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Andrew J. Geyer, PhD
Abstract
Various government agencies have a stake in knowing when bad actors cross the United States' borders, or how bad actors may be involved in the ow of people across borders. Interviews conducted at border checkpoints with individuals who intend to cross the border can contain valuable information. The quantity of interviews is such that intelligence analysts could benefit greatly from an automation system that extracts the information they are looking for from within the interviews. This would allow them to focus more of their time on analyzing what is extracted as opposed to inspecting all interviews themselves. The information extracted can be written to an SQL database, allowing the information to then be easily and efficiently queried for valuable insight and analysis.
AFIT Designator
AFIT-ENS-MS-19-M-101
DTIC Accession Number
AD1077295
Recommended Citation
Beveridge, Nathanael R., "Social Network Threat Detection" (2019). Theses and Dissertations. 2295.
https://scholar.afit.edu/etd/2295