Deception Detection

From Distributed Information and Intelligence Analysis Group

Deception detection plays an important role in the military decision-making process, but detecting deception is a challenging task. Our project aims at detecting deception and deception intentions of an individual among a group of experts who are contributing to an information knowledge-base. We have developed a framework to identify errors committed by an expert based on the correlation between different experts. Given the errors detected, we will design algorithms to further identify malicious deceptions and provide evidential information based on human intent. Also, we have been exploring the impacts of deception on adversarial intent inference model based on the idea that human deception is always intent driven.