Accession Number:

ADA411379

Title:

Using Bayesian Networks and Decision Theory to Model Physical Security

Descriptive Note:

Final technical rept. Oct 1995-Jun 2002

Corporate Author:

AIR FORCE RESEARCH LAB ROME NY INFORMATION DIRECTORATE

Personal Author(s):

Report Date:

2003-02-01

Pagination or Media Count:

23.0

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 didnt intend. The objective of this report is to apply Bayesian Networks and Decision Theory to this problem and thus, improve the accuracy.

Subject Categories:

  • Safety Engineering

Distribution Statement:

APPROVED FOR PUBLIC RELEASE