The Cyber Wargame Commodity Course of Action Automated Analysis Method

Abstract

The purpose of this research is to enhance the analytical capabilities and overall usability of the Wargame Commodity Course of Action Automated Analysis Method (WCCAAM) by incorporating cyber effects in determining optimal blue-team actions. In contrast to WCCAAM, the extended approach, aptly named the Cyber-Wargame Commodity Course of Action Automated Analysis Method (C-WCCAAM), balances engagement risk with a selection of blue-team cyber effects, in order to combat enemy targets. The resulting model utilizes an multi-commodity flow algorithm (MCFA) approach within a multi-objective mixed-integer linear program (MO-MILP) to determine an optimal blue-force course of action (COA). We explore a fictitious wargame scenario and compare C-WCCAAM on this scenario to previous results achieved with WCCAAM, achieving lower risk by utilizing potential cyber effects in our blue-force COA. We also assess the robustness of our optimal COA through sensitivity analysis.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2022
Accession Number
AD1172343

Entities

People

  • Alex M. Hoffendahl

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Cognition
  • Cyber Defense Techniques
  • Cyberattacks
  • Cyberspace Operations
  • Evolutionary Algorithms
  • Governments
  • Information Operations
  • Integer Programming
  • Linear Programming
  • Mathematical Programming
  • Military Operations
  • Military Science
  • Nonlinear Programming
  • Optimization
  • Systems Engineering
  • United States
  • War Colleges
  • Warfare

Fields of Study

  • Computer science

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Operations Research

Technology Areas

  • Cyber
  • Cyber - Cryptography