Optimal Randomized Surveillance Patterns to Detect Intruders Approaching a Military Installation

Abstract

This thesis addresses a two-person, zero-sum game between an intruder and a defender of a military installation. The intruder attempts to penetrate the military installation by choosing one of its many entry points, each of which is monitored by a surveillance camera and may require a different amount of time to transit. Although the real-time video of each surveillance camera is fed to a surveillance room simultaneously, the defender has only one surveillance monitor and can monitor only one entry point at a time. The author considers a discrete-time model such that the intruder will be detected if, during his travel time, the defender spends one time unit monitoring the entry point chosen by the intruder. The problem facing the defender is how to switch among entry points to monitor from one time unit to the next to maximize the detection probability of the intruder. The intruder's goal is, of course, to infiltrate without being detected, and so he wishes to minimize this probability. The author formulates the problem as a two-person, zero-sum game, and develops a linear program to solve it. Numerical experiments provide insights into the design of such surveillance systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA471394

Entities

People

  • Trevor D. Mclemore

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • California
  • Detection
  • Linear Programming
  • Markov Processes
  • Monitoring
  • Numerical Analysis
  • Operations Research
  • Optimization
  • Probability
  • Security
  • Steady State
  • Surveillance
  • Travel Time
  • United States Naval Academy
  • Zero-Sum Games

Readers

  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Operations Research
  • Sensor Fusion and Tracking Systems.