基于GWO和ENN的网络安全态势预测研究  

Research on Cyber Security Situation Prediction Based on GWO and ENN

作　　者：黄尧 王欢欢 祁璇 王辰 张琦[1] 彭辉 HUANG Yao;WANG Huanhuan;QI Xuan;WANG Chen;ZHANG Qi;PENG Hui(CEPREI-EAST,Suzhou 215000,China;CEPREI,Guangzhou 511370,China)

机构地区：[1]工业和信息化部电子第五研究所华东分所,江苏苏州215000 [2]工业和信息化部电子第五研究所,广东广州511370

出　　处：《电子质量》2024年第9期75-78,共4页Electronics Quality

摘　　要：近年来,在全球范围发生了大量网络攻击事件,为了从宏观上掌握网络的安全状况并预测其发展趋势,网络安全态势感知已经成为网络安全领域的热门研究方向。提出了基于灰狼优化算法(GWO)和Elman神经网络(ENN)的态势感知机制,建立了GWO-Elman安全态势预测模型,通过实验结果可以看出,改进后的方法能够更准确地预测下一时刻的网络安全态势。In recent years,a large number of cyber attacks have occurred around the world.In order to grasp the security status of the network from a macro perspective and predict its development trend,cyber security situation awareness has become a trending research direction in the cyber security domain.A situation awareness mechanism based on GWO and ENN is proposed,and a GWO-Elman security situation prediction model is established.It can be seen from the experimental results that the improved method can more accurately predict the cyber security situation in the next moment.

关 键 词：态势感知 网络安全态势 ELMAN神经网络 灰狼优化算法 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]