A Trust Based Information Dissemination Model for Evaluating the Effect of Deceptive Data

This research studies the problem of evaluating the effect of deceptive data based on the information flow network and the Web of trust. We present an information dissemination model that illustrates the prerequisite for dissemination of information based on the subject and object trusts. To evaluat...

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Bibliographic Details
Published in2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07) p. 157a
Main Authors Yi Hu, Zhichun Xiao, Panda, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2007
Subjects
Algorithm design and analysis
Cities and towns
Computer networks
Computer science
Data engineering
Data flow computing
Humans
Information analysis
Personnel
Semantic Web
Online AccessGet full text
ISSN1530-1605
DOI10.1109/HICSS.2007.43

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Summary:This research studies the problem of evaluating the effect of deceptive data based on the information flow network and the Web of trust. We present an information dissemination model that illustrates the prerequisite for dissemination of information based on the subject and object trusts. To evaluate the effects of deceptive data accurately, we offer a quantitative model that is utilized to calculate to what extent the subjects in the information flow network are affected. The algorithm for evaluating the spread of deceptive data is provided and the time complexity of the algorithm is also analyzed
ISSN:1530-1605
DOI:10.1109/HICSS.2007.43