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文章基本信息

  • 标题:A Genetic Approach to Security Cost Modeling for Structured Content Validation
  • 本地全文:下载
  • 作者:Dragos PALAGHITA
  • 期刊名称:Economy Informatics
  • 印刷版ISSN:1582-7941
  • 出版年度:2011
  • 卷号:11
  • 期号:1
  • 出版社:INFOREC Association
  • 摘要:Structured content consists of sets of structured entities that are compared for validity. The validity characteristics of structured entities are presented. The AVIO application is presented and its security risks are analyzed. A genetic cost model is defined based on input from over one hundred individual users that accessed the application freely. The input data for the genetic algorithm has been obtained from the AVIO application use, AVIO risk analysis, AVIO recorded security costs, and structural characteristics of the AVIO application. The output of the genetic algorithm is a low error cost model validated using real data from the AVIO application after several improvements have been made to the implementation logic.
  • 关键词:Cost; Security; Genetic Algorithm; Risk; Model
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