| 基于互信息和K-means聚类的信息安全风险评估 |
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| 引用本文： | 李学勇,高国红,孙甲霞. 基于互信息和K-means聚类的信息安全风险评估[J]. 河南师范大学学报(自然科学版), 2011, 39(2): 152-155 |
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| 作者姓名： | 李学勇 高国红 孙甲霞 |
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| 作者单位： | 河南科技学院信息工程学院,河南新乡,453003 |
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| 基金项目： | 河南省教育厅自然科学研究计划(2010a520024) |
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| 摘 要： | 针对信息安全风险评估训练数据少、求解最优值困难等问题,提出了基于互信息和K-means聚类的信息安全风险评估方法.用模糊评价法量化风险指标,通过互信息计算风险因素与风险等级之间的依赖性,找出风险度在每个等级的最优点作为K-means初始中心点,用K-means算法对数据分类.该方法实现简单且克服了 K-means对初始...
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| 关 键 词： | 信息安全 风险评估 互信息 K-means |
Risk Assessment of Information Security Based on Mutual Information and K-means |
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| LI Xue-yong,GAO Guo-hong,SUN Jia-xia. Risk Assessment of Information Security Based on Mutual Information and K-means[J]. Journal of Henan Normal University(Natural Science), 2011, 39(2): 152-155 |
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| Authors: | LI Xue-yong GAO Guo-hong SUN Jia-xia |
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| Affiliation: | (School of Information Engineer,Henan Institute of Science and Technology,Xinxiang 453003,China) |
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| Abstract: | This paper proposes a new information security risk assessment method based on mutual information calculation and K-means clustering algorithm in order,to solve the problems of small training data and to find optimal value.Fuzzy evaluation is applied to quantify risk factors,calculating the mutual information value of risk factors to indicate the dependent degree of risk factors and risk degree.The data are classified by K-means with the optimal mutual information data as the initial centers.This method is less computation,and also can overcome the K-means's shortcoming sensitive to initial value and solve problems of optimal value and conclusion blurring defects.Experimental results show the effectiveness of the method. |
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| Keywords: | information security risk assessment mutual information K-means |
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