基于FNN的多Agent SCADA安全防御模型

SCADA security defense model based on multi-Agent and FNN

作为ICS(Industrial Control System)的重要组成部分,SCADA(Supervisory Control and Data Acquisition)受到的恶意攻击与日俱增。为了充分确保其信息安全,可以选择多Agent技术来实现基于FNN(Factor Neuron Network)的安全防御方法,并最终建立起一个SCADA系统安全防御模型。该模型继承了多Agent技术与FNN的优点,配置方便,易于维护,可以实时更新以及在线扩展,具备良好的通用性与可塑性,从而克服了现有IDS(Intrusion Detection System)的诸多不足,有效保障SCADA安全可靠地运行。

SCADA is an important part of industrial control system, and the malicious attack on it is increasing. In order to ensure its informa- tion security, this paper selected a security method based on FNN and using multi-Agent to achieve it, then established a SCADA system security defense model. The model has advantages of both FNN and multi-Agent, such as easily configure or maintain, real-time update online, universal and plasticity. Therefore, it overcomes defects of the traditional intrusion detection system, and effectively ensures the safe and reliable operation of SCADA.