CAJ | 학술논문

为了提高信息安全态势的估计精度，提出一种小波分析和时间序列分析相融合的信息安全态势估计方法。首先收集信息安全变化的历史数据，然后采用小波分析对数据进行分解，然后分别采用时间序列方法对分解后数据进行建模和估计，最后采用小波分析对估计结果进行重构。结果表明，本文方法可以准确跟踪信息安全变化趋势，提高了信息安全态势估计的精度。
위료제고신식안전태세적고계정도，제출일충소파분석화시간서렬분석상융합적신식안전태세고계방법。수선수집신식안전변화적역사수거，연후채용소파분석대수거진행분해，연후분별채용시간서렬방법대분해후수거진행건모화고계，최후채용소파분석대고계결과진행중구。결과표명，본문방법가이준학근종신식안전변화추세，제고료신식안전태세고계적정도。
In order to improve the estimation accuracy of network security situation, a novel network security situa-tion estimation method is proposed in this paper based on the combination of wavelet analysis and BP neural network. The network security series are decomposed by wavelet analysis, and then auto regression integrating moving average and BP neural network is used to model and estimate the values of network security situation, finally, the estimation re-sults are reconstructed based on wavelet analysis. The results shows that the proposed model can be more accurately re-flect the changes in the network security situation and improve the estimation accuracy of the network security situation.