首页> 外文期刊>BioTechnology: An Indian Journal >Quantitative risk analysis method of information security-combining fuzzy comprehensive analysis with information entropy
【24h】

Quantitative risk analysis method of information security-combining fuzzy comprehensive analysis with information entropy

机译:信息安全的定量风险分析方法-模糊综合分析与信息熵相结合

获取原文
       

摘要

Quantitative risk assessment method based on information entropy: Because there was short effective assessment way for the risk level of the whole information system. I brought the information entropy into risk assessment of information security. The definition of risk degree was given first, which was the Likelihood estimate of probability and impact of risk, to scale risk degree of the whole information system. Since the evaluation on the probability and impact of risk were fuzzy, the risk factors were evaluated by means of fuzzy comprehensive evaluation method. For this method, the weight of each risk would be gained by entropy-weight coefficient; the subjective of expert assignment will be overcome. The risk degree will be gained by combining fuzzy comprehensive evaluation with information entropy, to measure off the risk degree of information system. In the paper I gave examples to show the application of this method.
机译:基于信息熵的定量风险评估方法:由于缺乏对整个信息系统风险水平的有效评估方法。我将信息熵纳入信息安全风险评估中。首先给出风险度的定义,即对概率和风险影响的可能性估计,以衡量整个信息系统的风险度。由于对风险的概率和影响的评价是模糊的,因此采用模糊综合评价法对风险因素进行评价。对于这种方法,每种风险的权重将通过熵权系数获得;专家分配的主观将被克服。通过将模糊综合评价与信息熵相结合,可以得出风险度,以此来衡量信息系统的风险度。在本文中,我举了一些例子来说明这种方法的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号