基于FNN的SCADA安全防御模型研究  

Research on FNN-based security defense model in SCADA

作　　者：张伟伟[1] 曹谢东[1] 胡启超[1] 梁鹏[1] 秦勇[1] 

机构地区：[1]西南石油大学电气信息学院,四川成都610500

出　　处：《微型机与应用》2015年第1期10-12,16,共4页Microcomputer & Its Applications

基　　金：国家自然科学基金(61175122)

摘　　要：为实现SCADA系统的安全防御,以因素空间理论为基础,结合群体感知技术,定义了一种基于因素神经网络的SCADA安全防御模型,在遭受攻击时利用群体感知实现群体联动防御。该模型通过对攻击中所感知的因素进行分析,对所感知因素获取最优动作集,根据知识库中相关知识提取对应的结论或动作。同时,在防御任务概念基础上,对SCADA防御任务进行分解,利用元组空间对模型进行了形式化描述,为SCADA系统群体联动防御奠定理论基础。To achieve the SCADA security defense system, on the basis of FNN（factor neural network） theory and combined with the technology of group awareness, this paper defined a SCADA security defense model based on factor neural network （FSDM）, which uses group awareness to realize joint group defense when under the attack. By analyzing factors of perceived in the attack, the model obtains the optimal action for perceived factors ,then according to relevant knowledge, it extracts the corresponding conclusion or action in the knowledge base. At the same time, based on the concept of defense task, this paper splits the SCADA defensive task and realizes the formal description of model by using tuple spaces, which laid the theoretical foundation of SCADA system defense of joint group.

关 键 词：SCADA 安全防御 形式化描述 FNN(因素神经网络) 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]