基于深度神经网络的实验室计算机网络安全态势感知方法分析
Analysis of Laboratory Computer Network Security Situation Awareness Method Based on Deep Neural Network
苗锋1
作者信息
摘要
阐述一种基于深度神经网络的实验室计算机网络安全态势感知方法.从多个数据源收集海量数据,并运用深度神经网络对收集到的数据进行深入分析和处理,能够准确地预测和感知网络安全威胁.
Abstract
This paper describes a laboratory computer network security situational awareness method based on deep neural networks.It collects massive amounts of data from multiple sources and uses deep neural networks to conduct in-depth analysis and processing of the collected data,accurately predicting and perceiving network security threats.
关键词
深度神经网络/实验室计算机/网络安全态势感知Key words
deep neural network/laboratory computer/network security situational awareness引用本文复制引用
出版年
2024
NETL
NSTL
万方数据