摘要
智能电网中信息技术的广泛使用为攻击者提供了更多的途径入侵和攻击电力系统,这已成为智能电网安全的最大隐患之一。提出了一种基于异常数据融合的智能电网攻击检测方法,通过入侵检测系统发现信息网络中的异常流量,利用标准化残差方法检测电力系统中的异常量测数据,通过关联信息网络和物理系统的异常报警数据来检测智能电网攻击事件。仿真实验表明该方法可以消除入侵检测与标准化残差检测产生的大量错误报警,显著提高智能电网攻击的检测精度。
The integration of communication technologies introduces exploitable vulnerabilities for attackers to intrude and attack power system,which is considered as one of most serious threats in Smart Grid security.A cyber-physical alert fusion method is proposed to detect Smart Grids attacks.Intrusion Detection System （IDS）was applied to detect the abnormal traffic in information network,and largest Normalized Residual Test （RN Test）was employed to identify abnormal measurements in power system.The abnormal alerts from network and power system were used to detect the attacks in Smart Grids.The simulation shows that our method could eliminate the false alerts of IDS and RN Test and dramatically improve the detection accuracy.
出处
《山东大学学报（理学版）》
CAS
CSCD
北大核心
2014年第9期35-40,共6页
Journal of Shandong University(Natural Science)
基金
国家自然科学基金资助项目(91118005
91218301
61221063
61203174
U1301254)
国家科技支撑计划项目(2012BAH16F02)
国家863计划项目(2012AA011003)
教育部博士点基金资助项目(20110201120010)
中央高校基本科研业务费专项资金资助项目
