Declustering the itrust search and retrieval network to increase trustworthiness

Christopher M. Badger*, Louise E. Moser, P. Michael Melliar-Smith, Isai Michel Lombera, Yung-Ting Chuang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The iTrust search and retrieval network aims to provide trustworthy access to information on the Web by making it difficult to censor or filter information. The declustering algorithm, presented in this paper, randomizes the network in a manner that reduces the clustering, or cliquishness, of the network. This randomization also reduces the necessary amount of cooperation between nodes by ensuring that a connection to any node is short-lived and can be replaced with a connection to another node from a large pool of known peers. Thus, the declustering algorithm reduces the expectation of cooperation among peers, which represents the degree to which the nodes rely on, or act on, information provided by their peers. In general, the smaller the expectation of cooperation, the less susceptible the network is to malicious attacks. Simulation results demonstrate that the declustering algorithm succeeds in randomizing the neighbors of a node in the network and, thus, in reducing the likelihood of malicious attacks.

Original languageEnglish
Title of host publicationWEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies
Pages312-322
Number of pages11
DOIs
StatePublished - 16 Aug 2012
Event8th International Conference on Web Information Systems and Technologies, WEBIST 2012 - Porto, Portugal
Duration: 18 Apr 201221 Apr 2012

Publication series

NameWEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies

Conference

Conference8th International Conference on Web Information Systems and Technologies, WEBIST 2012
CountryPortugal
CityPorto
Period18/04/1221/04/12

Keywords

  • Declustering
  • Retrieval
  • Search
  • Trustworthiness

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