网络安全风险动态评估过程优化仿真

发布时间：2019-06-09 12:40

【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。
[Abstract]:The dynamic assessment method of network security risk is studied to improve the accuracy of the assessment. At present, the network security risk assessment does not consider the changes of network indexes caused by different intrusion characteristics, mainly the same static fixed index changes before and after intrusion, and lacks the method of dynamic sustainable evaluation in different periods. In order to solve the above problems, a dynamic assessment method of network security risk based on feature mapping association algorithm is proposed. The operation features in the network are weighted and optimized, the abnormal features of the network operation are extracted, the error of abnormal feature extraction is calculated, and the error of abnormal feature extraction is compensated. According to the feature classification function of network anomaly feature, the constraint conditions of feature classification are calculated, the feature attribute mapping model is established, the feature mapping correlation is obtained, the classification of network anomaly feature is realized, and the dynamic assessment of network security risk is completed. The experimental results show that the dynamic assessment of network security risk by using the improved algorithm can greatly improve the accuracy of the evaluation and meet the actual needs of network security.
【作者单位】：河南广播电视大学开放教育教务处;
【分类号】：TP393.08

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