计算机工程与应用2019，Vol.55Issue(6)：86-93,8.DOI:10.3778/j.issn.1002-8331.1808-0016
应用改进卷积神经网络的网络安全态势预测方法
Network Security Situation Prediction Method Using Improved Convolution Neural Network
摘要
Abstract
Aiming at the high training complexity of neural network situation prediction model, a situation prediction method based on improved convolution neural network is proposed. Combined with the advantages of depth-wise separa-ble convolution and factorization into smaller convolution, a new model of improved convolution neural network security situation based on composite convolution structure is proposed, and the mapping of situation elements and situation val-ues are realized. The experimental simulation results show that the method obviously reduces the time complexity and the prediction time, improves the prediction accuracy compared with the existing typical prediction methods.关键词
态势预测/神经网络/卷积神经网络/复合卷积结构Key words
situation prediction/neural network/convolution neural network/compound convolution structure分类
信息技术与安全科学引用本文复制引用
张任川,张玉臣,刘璟,范钰丹..应用改进卷积神经网络的网络安全态势预测方法[J].计算机工程与应用,2019,55(6):86-93,8.
