首页|基于GWO和ENN的网络安全态势预测研究

基于GWO和ENN的网络安全态势预测研究

扫码查看
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.
Research on Cyber Security Situation Prediction Based on GWO and ENN
In recent years,a large number of cyber attacks have occurred around the world.In order to grasp the se-curity 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.

situational awarenesscyber security situationElman neural networkgrey wolf optimizer

黄尧、王欢欢、祁璇、王辰、张琦、彭辉

展开 >

工业和信息化部电子第五研究所华东分所,江苏 苏州 215000

工业和信息化部电子第五研究所,广东 广州 511370

态势感知 网络安全态势 Elman神经网络 灰狼优化算法

2024

电子质量
中国电子质量管理协会 信产部五所

电子质量

影响因子:0.146
ISSN:1003-0107
年,卷(期):2024.(9)
  • 1