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  • 标题:A Framework for Security Components Anomalies Severity Evaluation and Classification
  • 本地全文:下载
  • 作者:Kamel Karoui ; Fakher Ben Ftima ; Henda Ben Ghezala
  • 期刊名称:International Journal of Network Security & Its Applications
  • 印刷版ISSN:0975-2307
  • 电子版ISSN:0974-9330
  • 出版年度:2013
  • 卷号:5
  • 期号:4
  • DOI:10.5121/ijnsa.2013.5405
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Security components such as firewalls, IDS and IPS, are the most widely adopted security devices fornetwork protection.These components are often implemented with several errors (or anomalies) that aresometimes critical. To ensure the security of their networks, administrators should detect these anomaliesand correct them. Before correcting the detected anomalies, the administrator should evaluate and classifythese latter to determine the best strategy to correct them. In this work, we propose a framework to assessand classify the detected anomalies using a three evaluation criteria: a quantitative evaluation, a semanticevaluation and multi-anomalies evaluation. The proposed process, convenient in an audit process, will bedetailed by a case study to demonstrate its usefulness
  • 关键词:Anomaly severity evaluation; anomaly severity classification; semantic evalu;ation; quantitative evaluation;multi;-;anomalies evaluation
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