摘要
面对复杂的网络安全形式,攻击方常采用大量的信息侦查、漏洞利用和混淆技术在网络进行恶意活动或破坏行为。虽然当前网络安全态势感知平台尽可能地发现和监测新漏洞的利用过程,但是攻击预测的准确率和精确率都不尽如人意,需要在目前预测技术的基础上研究更加高级的算法将安全事件自动关联到对应的资产和攻击类型上,对可能发生的网络安全攻击进行预警和风险评估,实现对网络安全事件的精准预测。
In the face of complex forms of network security,attackers often use a large number of information investigation,vulnerability utilization and confusion technologies to carry out malicious activities or destruction in the network.Although the current network security situational awareness platform finds and monitors the utilization process of new vulnerabilities as much as possible,the accuracy of attack prediction are not satisfactory.It is necessary to study more advanced algorithms based on the current prediction technology to automatically associate security events with the corresponding assets and attack types,carry out early warning and risk assessment for possible network security attacks to achieve accurate prediction of network security events.
作者
丁朝晖
张伟
杨国玉
刘腾
Ding Zhaohui;Zhang Wei;Yang Guoyu;Liu Teng(China Datang Group Science and Technology Research Institute Co.,Ltd.,Beijing 100043,China)
出处
《电子技术应用》
2023年第1期86-90,共5页
Application of Electronic Technique
基金
2020年大唐集团第一批科技项目(KJ20-002)。
关键词
工业控制系统
网络攻击预测
神经网络
industrial control system
network attack prediction
neural network
