Using Bayesian Networks and Decision Theory to Model Physical Security

Abstract

Home automation technologies allow a person to monitor and control various activities within a home or office setting. Cameras, sensors and other components used along with the simple rules in the home automation software provide an environment where the lights, security and other appliances can be monitored and controlled. These home automation technologies, however, lack the power to reason under uncertain conditions and thus the system can sometimes perform in ways the user didn't intend. The objective of this report is to apply Bayesian Networks and Decision Theory to this problem and thus, improve the accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2003
Accession Number
ADA411379

Entities

People

  • Nancy A. Roberts

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Automation
  • Basic Programming Language
  • Bayesian Networks
  • Decision Theory
  • Detectors
  • Environment
  • High Resolution
  • Inference Engines
  • Information Systems
  • Intervals
  • Models
  • Physical Security
  • Probability
  • Security

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
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  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy