网络安全态势的云预测

Cloud Prediction of Network Security Situation

针对现有网络安全态势预测算法存在的主观因素影响较大、预测结果与选取数据关联程度较高的情况,以云的网络安全态势预测规则挖掘算法为基础,提出了一个改进算法。该改进算法不仅拥有原挖掘算法无需对初始数据进行预先处理的优点,同时避免了预测规则与实际情况相孤立造成预测错误的情况,并通过实验验证了算法的可行性和有效性。基于云的网络安全态势预测改进算法,有效地提高了网络安全态势预测的准确性。

The existing algorithms of network security situation prediction were affected with subjective factors. The results of algorithms were highly relevant to selection data. An improvedalgorithm was proposed based on the algorithm of network security situation prediction based on cloud. It not only have the advantage of original algorithm that don＇t need to process the initial data in advance, but also solve the problem that errors caused by the results of the original algorithm isolate from the actual situation. Experiment results show that the algorithm is feasibility and effectiveness. The improved algorithm of network security situation prediction based on cloud can improve the accuracy of the results of network security situation prediction.