计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
8期
71-74
,共4页
网络安全态势%参数优化%布谷鸟搜索算法%估计模型
網絡安全態勢%參數優化%佈穀鳥搜索算法%估計模型
망락안전태세%삼수우화%포곡조수색산법%고계모형
network security situation%parameters optimization%cuckoo search algorithm%assessment model
为了获得更加理想的网络安全态势估计效果，提出一种基于组合方法的网络安全态势估计模型。首先收集网络安全态势样本，进行预处理得到学习样本，然后将训练样本集输入到BP神经网络进行学习，并采用布谷鸟搜索算法选择最合理的BP神经网络参数，最后通过仿真实验对模型性能进行分析。结果表明，本文模型大幅度降低了网络安全态势的拟合误差和预测误差，是一种科学、合理的网络安全态势估计模型，估计结果具有一定的实际应用价值。
為瞭穫得更加理想的網絡安全態勢估計效果，提齣一種基于組閤方法的網絡安全態勢估計模型。首先收集網絡安全態勢樣本，進行預處理得到學習樣本，然後將訓練樣本集輸入到BP神經網絡進行學習，併採用佈穀鳥搜索算法選擇最閤理的BP神經網絡參數，最後通過倣真實驗對模型性能進行分析。結果錶明，本文模型大幅度降低瞭網絡安全態勢的擬閤誤差和預測誤差，是一種科學、閤理的網絡安全態勢估計模型，估計結果具有一定的實際應用價值。
위료획득경가이상적망락안전태세고계효과，제출일충기우조합방법적망락안전태세고계모형。수선수집망락안전태세양본，진행예처리득도학습양본，연후장훈련양본집수입도BP신경망락진행학습，병채용포곡조수색산법선택최합리적BP신경망락삼수，최후통과방진실험대모형성능진행분석。결과표명，본문모형대폭도강저료망락안전태세적의합오차화예측오차，시일충과학、합리적망락안전태세고계모형，고계결과구유일정적실제응용개치。
In order to obtain more ideal estimate effect of network security situation, this paper proposed an estimation model based on network security situational combination method.Firstly, samples of network security situation were collected and pro-cessed to get the learning samples.Secondly, the training sample sets were input to the BP neural network to learn, and the cuck-oo search algorithm was adopted to select the most reasonable parameters of the BP neural network.Finally the simulation experi-ments were used to analyze the performance of model.The results show that, the proposed model greatly reduces the fitting error and the prediction error of network security situation, it is a scientific, reasonable estimation model of network security situation, and the estimation results have a certain practical application value.
