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Publication Detail
Private yet abuse resistant open publishing
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Conference Proceeding
  • Authors:
    Danezis G, Laurie B
  • Publication date:
    01/12/2010
  • Pagination:
    222, 243
  • Journal:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    5964 LNCS
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
We present the problem of abusive, off-topic or repetitive postings on open publishing websites, and the difficulties associated with filtering them out. We propose a scheme that extracts enough information to allow for filtering, based on users being embedded in a social network. Our system maintains the privacy of the poster, and does not require full identification to work well. We present a concrete realization using constructions based on discrete logarithms, and a sketch of how our scheme could be implemented in a centralized fashion. © 2010 Springer-Verlag.
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