Physical Sciences and Mathematics Commons^™

Representing Variable Source Credibility In Intelligence Analysis With Bayesian Networks, Ken Mcnaught, Peter Sutovsky

Australian Security and Intelligence Conference

Assessing the credibility of an evidential source is an important part of intelligence analysis, particularly where human intelligence is concerned. Furthermore, it is frequently necessary to combine multiple items of evidence with varying source credibilities. Bayesian networks provide a powerful probabilistic approach to the fusion of information and are increasingly being applied in a wide variety of settings. In this paper we explore their application to intelligence analysis and provide a simple example concerning a potential attack on an infrastructure target. Our main focus is on the representation of source credibility. While we do not advocate the routine use of …