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Modeling deceptive information dissemination using a holistic approach
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Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Trust, recommendations, evidence and other collaboration know-how (TRECK'07) table of contents
Pages: 1591 - 1598  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Yi Hu  University of Arkansas, Fayetteville AR
Zhichun Xiao  University of Arkansas, Fayetteville AR
Brajendra Panda  University of Arkansas, Fayetteville AR
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Yi Hu: colleagues
Zhichun Xiao: colleagues
Brajendra Panda: colleagues