山东大学学报(理学版) ›› 2014, Vol. 49 ›› Issue (09): 35-40.doi: 10.6040/j.issn.1671-9352.2.2014.388
刘烃, 赵宇辰, 刘杨, 孙亚楠
LIU Ting, ZHAO Yu-chen, LIU Yang, SUN Ya-nan
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。
中图分类号:
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