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基于数据关系图的恶意假数据注入攻击检测
引用本文:张林鹏,王勇,陈武,刘蔚.基于数据关系图的恶意假数据注入攻击检测[J].上海电力学院学报,2017,33(5):480-486.
作者姓名:张林鹏  王勇  陈武  刘蔚
作者单位:上海电力学院, 上海 200090,上海电力学院, 上海 200090,上海电力学院, 上海 200090,上海云剑信息技术有限公司, 上海 200433
基金项目:上海科学技术委员会地方能力建设项目(15110500700);上海市浦江人才计划资助项目(16PJ1433100);上海自然科学基金(16ZR1436300);上海科学技术委员会中小企业创新基金(1501H1B7700,1601H1E2600).
摘    要:分析了假数据注入攻击的原理,并在4节点16测点系统上进行了攻击验证.最后提出了基于数据关系图的电力系统状态估计检测方法,并在4节点16测点系统上对假数据注入攻击进行了检测效果实验.实验结果表明,基于数据关系图的电力系统状态估计检测能够检测假数据注入攻击,并能辨识攻击注入点.

关 键 词:状态估计  不良数据检测  恶意假数据注入攻击  数据关系图
收稿时间:2017/3/19 0:00:00

False Data Injection Attack Detection Based on Data Relationship Graph
ZHANG Linpeng,WANG Yong,CHEN Wu and LIU Wei.False Data Injection Attack Detection Based on Data Relationship Graph[J].Journal of Shanghai University of Electric Power,2017,33(5):480-486.
Authors:ZHANG Linpeng  WANG Yong  CHEN Wu and LIU Wei
Affiliation:Shanghai University of Electric Power, Shanghai 200090, China,Shanghai University of Electric Power, Shanghai 200090, China,Shanghai University of Electric Power, Shanghai 200090, China and Shanghai Cloud Sword Information Technology Co,. Ltd., Shanghai 200433, China
Abstract:The principle of the attack is studied,the attack testing on one four-nodes power system with 16 measuring points is realized,and a novel method based on data relationship graph is proposed to detect and identify the attack.The proposed method is effective against the state estimation.
Keywords:state estimation  bad data detection  ill will  false data injection attack  data relationship graph
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