油气集输SCADA安全防御的因素神经元模型研究

Research on factor neuron model aiming at oil & gas gathering and transferring SCADA's security defense

针对分布式油气集输SCADA主机安全防御的重点因素,结合因素神经网络理论,定义了程序行为因素的概念,并提出了一种针对SCADA主机安全的因素神经元模型。通过将因素神经元部署在SCADA系统工控机、工程师站、操作员站等各级上下位机上,以程序行为因素作为切入点,使其在功能上各有所长,组织上具有层次结构。最后在仿真平台上对恶意程序行为进行监控测试。实验结果证实了该模型可以完成对SCADA系统主机恶意程序攻击的防御,验证了该模型的可行性,为研究SCADA安全防御方法提供了一种新思路。

In view of the key factors of distributed oil gas gathering and transferring SCADA host security defense and combined with the factor neural network theory, this paper defined the concept of program behavior factor and proposed the factor neuron defense model for SCADA host security. Factor neuron was deployed on the upper and lower computers of the SCADA＇s IPC, engineer stations. The program behavior factor was used as the pointcut and operator stations had a hierarchical structure in the organization and its own good points in function. By testing the supervision of malware behavior on the simulation platform, the result proves that the model can realize the defense of the attack aiming at SCADA host by malware and the model shows the feasibility, which provides a new way for research on SCADA security defense method.