Real-Time Detection of Operational Military Information in Social Media

Abstract

Access to information has never been easier and peoples eagerness and ability to publish information on social media platforms has never been higher. The growing mountain of information has presented an opportunity and a significant challenge for data scientists. The military in particular can benefit from the ability to use public information to gain an awareness of its current vulnerabilities as well as learning about its adversaries. This thesis explores methods for collecting public information from social media that may be revealing operational military movements. This research demonstrates that it is possible to train a machine to search for and find military members in social media by using publicly available information distributed by the military. The postings of military members, once identified, can then be ingested and processed in real time, allowing the timely detection of possible military information that had been posted in social media

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
AD1008935

Entities

People

  • Patrick M. Gillen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Analysis
  • Data Mining
  • Data Science
  • Detection
  • Electronic Mail
  • Information Science
  • Internet
  • Machine Learning
  • Media
  • Naval Warfare
  • Navy
  • Network Science
  • Online Communications
  • Social Media
  • Social Networking Services
  • Supervised Machine Learning
  • United States

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • International Journalism and Media Studies.
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.