工控设备状态检测中BP神经网络模型的应用

摘要 针对工控系统现场网中的物理设备状态信息，提出一种利用BP神经网络模型实时分析和判断设备是否处于正常运行状态的入侵检测算法.该算法旨在能够发现来自工控系统内外部的入侵行为和合法控制指令被恶意利用的复杂攻击.
The industrial control system (ICS) security is closely related to the security of national critical infrastructure, so, more and more countries began to increase the importance of ICS. Aiming at the physical devices in ICS field control net, an innovative intrusion detection algorithm was presented to analysis and estimate whether the devices are in normal operation condition. This algorithm is designed to detect internal or external intrusion actions in ICS and complex attack by maliciously using normative control commands.