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文章基本信息

  • 标题:A Predictable Information Security Based Context Aware Trust Model for Organization Management: A Statistical Analysis
  • 本地全文:下载
  • 作者:Vinod Duraivelu ; Chandrasekaran Subramaniam
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2016
  • 卷号:11
  • 期号:6
  • 页码:577-588
  • DOI:10.17706/jsw.11.6.577-588
  • 出版社:Academy Publisher
  • 摘要:The objective of the work is to propose a Predictable Context Aware Trust (PCAT) model for achieving organisation information security in the presence of suspicious entities and authorities. The properties of the PCAT model are studied including the suspicion stack pertaining to the members in different contexts. A reputation score is rewarded based on the contexts in which the information exchange is done. The proposed information trust model encompasses the trust level of the members, degree of suspicion in the information, the levels of privacy, reputation values of the trustees and their trust relationships to predict organization security. An airway passenger guidance system is taken up for statistical analysis. A conceptual and hierarchical trust pyramid is considered at different context levels and the formal implications are derived using context sensitive standard deontic logic. The formal specifications of a passport checking sub system are given in Temporal Logic of Actions (TLA ) which uses certificate authorities and trustees to evaluate passengers by assigning suspicious values.
  • 其他关键词:Trust value, suspicion stack, context aware, standard deontic logic, reputation.
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