摘要
虚假数据攻击利用输电网状态估计中基于残差的不良数据检测漏洞,通过向数据采集与监控系统(supervisory control and data acquisition,SCADA)系统中注入虚假数据,达到修改电力系统的量测值和状态变量、控制电力系统的运行状态或者获取经济利益等不法目的。阐述了虚假数据攻击的基本理论和实现机制,并从攻击方法和防御策略、电力系统信息完整性、基于传统虚假数据攻击(false data injection attacks,FDIAs)扩展的攻击方式和攻击向量优化算法4个方面梳理了虚假数据攻击的研究现状和发展情况,分析了现有研究成果的优点和不足。在此基础上,从虚假数据攻击对分布式状态估计的影响、相量测量单元(phasor measurementunit,PMU)/SCADA混合量测下虚假数据攻击和多代理技术在虚假数据攻击防御中的应用3个方面对虚假数据攻击研究进行了展望。
False data injection attacks(FDIAs) take advantage of flaws of bad data detection in transmission system state estimate based on residue. By injecting false data to supervisory control and data acquisition(SCADA) system, FDIAs attackers can achieve some illegal goals, such as modifying measurements and state variables, controlling operations, gaining profits, etc. Fundamental theories and implementation mechanism of FDIAs were illustrated. State-of-arts of FDIAs were teased out from perspective of attack strategies and countermeasures, information integrity of power systems, extended attacking methods of FDIAs and optimization of attacking vectors. Advantages and disadvantages of different research results were also analyzed. Effects of FDIAs on distributed state estimation, FDIAs in hybrid SCADA/PMU measurements and countermeasures based on multi-agent were prospected.
出处
《电网技术》
EI
CSCD
北大核心
2016年第11期3406-3414,共9页
Power System Technology
基金
国家自然科学基金(50677047)
湖北省自然科学基金(2015CFB563)~~
关键词
信息安全
状态估计
虚假数据攻击
残差
l0范数
information security
state estimation
false data injection attacks
residue
l0-norm