Modeling deceptive information dissemination using a holistic approach

  • Authors:
  • Yi Hu;Zhichun Xiao;Brajendra Panda

  • Affiliations:
  • University of Arkansas, Fayetteville AR;University of Arkansas, Fayetteville AR;University of Arkansas, Fayetteville AR

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

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Abstract

This research studies deceptive information dissemination based on the Information Flow Network and the Web of Trust. We present an Information Dissemination Model that illustrates the prerequisite for information propagation based on the subject and object trusts. To evaluate the spread of deceptive data accurately, we offer two quantitative models that are utilized to calculate the degree to which the subjects in the information flow network are affected. The algorithms for evaluating information dissemination for these two models are provided and the time complexities of the algorithms are also analyzed. Our experiments illustrate the characteristics of the web of trust that affect the dissemination of the deceptive information.