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机构地区:[1]河南广播电视大学开放教育教务处,河南郑州450008
出 处:《计算机仿真》2014年第8期326-329,共4页Computer Simulation
摘 要:研究网络安全风险动态评估方法,提高评估的准确性。当前网络安全风险评估没有考虑不同入侵特征造成的网络指标变化,以入侵前后相同静态固定指标变化评估为主,缺少不同时段内动态可持续评估的方法。为解决上述问题,提出基于特征映射关联算法的网络安全风险动态评估方法。对网络中的操作特征进行加权优化处理,提取网络操作异常特征,计算异常特征提取误差,针对异常特征提取误差进行补偿。根据网络异常特征获取特征分类函数,并计算特征分类的约束条件,建立特征属性映射模型,获取特征映射关联性,实现网络异常特征的分类,完成网络安全风险动态评估。实验结果表明,利用改进算法进行网络安全风险动态评估,能够极大的提高评估的准确性,满足网络安全的实际需求。This paper studies the method for dynamic network security risk assessment, and improves the accura- cy of the assessment. A dynamic network security risk assessment method is presented based on feature mapping cor- relation algorithm. The network operating characteristics are weighted optimization. Then the abnormal characteristics are taken, which are used to calculate the abnormal feature extraction error and compensate for the abnormal feature extraction error. According to the classification function of network anomaly features, the feature classification con- straints are calculated, the feature attribute mapping model is set up, the feature mapping relation is obtained to real- ize the classification of the anomaly characteristics of the network, and the dynamic network security risk assessment is completed. Experimental results show that the proposed algorithm can greatly improve the accuracy of the assess- ment and meet the needs of network security.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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