Social Network Threat Detection

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 flow 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.

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Document Details

Document Type
Technical Report
Publication Date
Mar 21, 2019
Accession Number
AD1077295

Entities

People

  • Nathanael R. Beveridge

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Data Set
  • Databases
  • Detection
  • Digital Data
  • Engineering
  • Governments
  • Graphical User Interface
  • Intelligence Analysts
  • Language
  • Law
  • Machine Learning
  • Markov Models
  • Named Entity Recognition
  • Natural Language Computing
  • Natural Language Processing
  • Natural Languages
  • Operations Research
  • Probabilistic Models
  • Probability
  • Programming Languages
  • Python Programming Language
  • Security
  • Social Networks
  • United States

Readers

  • East Asian Political and Security Studies within the Soviet Union
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval