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  • 标题:Stochastic Modelling of Vulnerability Life Cycle and Security Risk Evaluation
  • 本地全文:下载
  • 作者:Sasith M. Rajasooriya ; Chris P. Tsokos ; Pubudu Kalpani Kaluarachchi
  • 期刊名称:Journal of Information Security
  • 印刷版ISSN:2153-1234
  • 电子版ISSN:2153-1242
  • 出版年度:2016
  • 卷号:07
  • 期号:04
  • 页码:269-279
  • DOI:10.4236/jis.2016.74022
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:The objective of the present study is to propose a risk evaluation statistical model for a given vulnerability by examining the Vulnerability Life Cycle and the CVSS score. Having a better understanding of the behavior of vulnerability with respect to time will give us a great advantage. Such understanding will help us to avoid exploitations and introduce patches for a particular vulnerability before the attacker takes the advantage. Utilizing the proposed model one can identify the risk factor of a specific vulnerability being exploited as a function of time. Measuring of the risk factor of a given vulnerability will also help to improve the security level of software and to make appropriate decisions to patch the vulnerability before an exploitation takes place.
  • 关键词:Stochastic Modelling;Security;Risk Evaluation;Vulnerability Life Cycle;Risk Factor
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