中圖分類號：TN915.08
文獻標志碼：A
DOI: 10.16157/j.issn.0258-79982.222698
中文引用格式： 丁朝暉，張偉，楊國玉，等. 工業(yè)控制系統(tǒng)網(wǎng)絡(luò)攻擊預(yù)測技術(shù)研究[J]. 電子技術(shù)應(yīng)用，2023，49(1)：86-90.
英文引用格式： Ding Zhaohui，Zhang Wei，Yang Guoyu，et al. Research on network attack prediction technology of industrial control system[J]. Application of Electronic Technique，2023，49(1)：86-90.

Research on network attack prediction technology of industrial control system

Abstract： 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.

Key words : industrial control system；network attack prediction；neural network