基于因素神经网络的工控系统入侵检测技术研究

Research on Intrusion Detection Technology of industrial control system based on neural network

工业控制系统的安全性已经引起全球广泛关注,其与传统IT系统有很大区别,结合因素神经理论,建立通用的工业控制系统因素神经元模型,通过研究恶意程序的行为,提取主要的程序行为因素,利用API HOOK等技术实现对入侵程序的检测。

The security of the industrial control system has caused widespread concern in the world, which is very different with traditional IT system. Combining with the factors nerve theory, the common factor neuron model of industrial control system can be established. Research on the behavioral characteristics of malicious programs to extract major behavioral detection factors. Finally, use technology of API HOOK to achieve the detection of malicious behavior.