In order to improve the estimation accuracy of information security situation,in this paper we propose an information security situation estimation method which combines the wavelet analysis and time series analysis.First we collect the historical data of information security changes,and then decompose these data with wavelet analysis.After that we use time series method to model and estimate the decomposed data,and finally use wavelet analysis to reconstruct the estimation results.As a result,the proposed method can more accurately track the trend of information security changes,and improves the estimation accuracy of information security situation.%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,再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,该方法可以准确跟踪信息安全变化趋势,提高信息安全态势估计的精度。
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