Enterprise Resource Allocation for Intruder Detection and Interception

Abstract

This dissertation considers the problem of an intruder attempting to traverse a defender's territory in which the defender locates and employs disparate sets of resources to lower the probability of a successful intrusion. This research is conducted in the form of three related research components. The first component examines the problem in which the defender subdivides their territory into spatial stages and knows the plan of intrusion. The second component studies a similar problem but is unaware of the intrusion plan, introduces more defensive assets capable of lowering the probability of a successful intrusion, and examines alternative solution methods for instances of the problem. The third component further studies the underlying problem by using a game-theoretic framework in which the attacker observes defender location decisions prior to formulating an appropriate intrusion plan.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2021
Accession Number
AD1148721

Entities

People

  • Adam B Haywood

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Ballistic Missiles
  • Computational Science
  • Defense Systems
  • Department Of Defense
  • Early Warning Systems
  • Evolutionary Algorithms
  • Game Theory
  • Genetic Algorithms
  • Hypersonic Glide Vehicles
  • Literature Surveys
  • Mathematical Programming
  • Multiobjective Optimization
  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Probability
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Operations Research