Detecting Deception in Multiscale Activity Graphs

Abstract

The problem studied in this research is that of detecting deception by participants in large-scale activities. The primary means pursued was that of obtaining a better understanding of how to describe and predict the flow of information through large populations of disparate types of participants. Such an understanding can be used to see if the observed results of deceptive information match what would be expected were the deception to originate from suspected sources. It can also be used to estimate susceptibility of participants or populations to deceptive information originating from different sources.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 09, 2012
Accession Number
ADA580490

Entities

People

  • Jon Doyle

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Agreements
  • Computer Science
  • Conformity
  • Deception
  • Department Of Defense
  • Engineering
  • Markov Chains
  • Mathematical Models
  • Mathematics
  • Military Research
  • Models
  • North Carolina
  • Probability
  • Probability Distributions
  • Professional Associations
  • Students
  • Targets

Readers

  • Computational Fluid Dynamics (CFD)
  • Seismology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.