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Data Integrity Attack on Consensus-based Load Shedding Algorithm for Power Systems

机译:基于协商的基于载荷脱落算法的数据完整性攻击

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The paper presents a novel data integrity attack on consensus-based load shedding algorithm. In particular, we show that by sending out elaborately falsified information during the consensus iterations, attackers could manipulate the system operating point to achieve selfish goals, e.g. loads remain being served under contingencies while shedding other loads. More importantly, still maintain the system stability. This data integrity attack has three major features: 1) no additional information about system topology or other devices are required to launch the attack; 2) the attacking effect is accumulative which enables attackers to complete the attacks in either single or multiple iterations; 3) attackers could fulfill their goal using the local agent alone, no other agents need to be compromised during the attack. By revealing such potential risks, this paper conveys the message that besides the efforts of designing novel consensus-based applications, it is equally important to protect distributed smart grid applications from possible malicious cyber-attacks. The potential impact of the data integrity attacks is illustrated on simulation examples.
机译:本文提出了一种关于基于共识的负载脱落算法的新型数据完整性攻击。特别是,我们表明,通过在共识迭代期间发出精心伪造的信息,攻击者可以操纵系统操作点以实现自私目标,例如自私目标。负载仍在缩小其他负载的情况下在突发事件下供应。更重要的是,仍然保持系统稳定性。此数据完整性攻击具有三个主要特点:1)无需有关系统拓扑或其他设备的其他信息来启动攻击; 2)攻击效果累积,使攻击者能够在单一或多次迭代中完成攻击; 3)攻击者可以单独使用当地代理人履行目标,在攻击期间没有需要妥协的其他代理商。通过揭示这种潜在的风险,本文传达了除了设计新的基于共识的应用的努力之外的信息,它同样重要的是保护分布式智能电网应用从可能的恶意网络攻击。在仿真示例下说明了数据完整性攻击的潜在影响。

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