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RDF(S) repository privacy protection via inference control

  • Jin Rong Xue
  • , Jun Zheng*
  • , Qiu Sheng An
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Shanxi Normal University

Research output: Contribution to journal › Article › peer-review

Abstract

The privacy protection of resource description framework (schema) (RDF(S)) repository is an emerging topic in database security area. In this paper, entailment rules are investigated based on RDF(S) repository firstly. Then, an idea that uses reasoning closure to judge whether the privacy disclosure caused by inference is existed is proposed. Furthermore, the definitions of implication conditions and information measure of triple statements which gains data hiding algorithm with combining proposition logic reasoning theory are introduced. Meanwhile, a conversion method from conjunctive normal form to disjunctive normal form based minimal hitting sets of set cluster is also proposed. Finally, the experimental results show that our algorithm can prevent privacy disclosure of RDF(S) repository effectively.

Original languageEnglish
Pages (from-to)495-501
Number of pages7
JournalJournal of Beijing Institute of Technology (English Edition)
Volume23
Issue number4
Publication statusPublished - 1 Dec 2014

Keywords

  • Entailment rule
  • Information measure
  • Minimal hitting set
  • Privacy disclosure
  • Reasoning closure
  • Resource description framework (RDF)

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