Systematic planning of moving target defence for maximising detection effectiveness against false data injection attacks in smart grid

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Bo Liu, Hongyu Wu
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引用次数: 5

Abstract

Moving target defence (MTD) has been gaining traction to thwart false data injection attacks against state estimation (SE) in the power grid. MTD actively perturbs the reactance of transmission lines equipped with distributed flexible AC transmission system (D-FACTS) devices to falsify the attacker's knowledge about the system configuration. However, the existing literature has not systematically studied what influences the detection effectiveness of MTD and how it can be improved based on the topology analysis. These problems are tackled here from the perspective of an MTD plan in which the D-FACTS placement is determined. We first exploit the relation between the rank of the composite matrix and the detecting effectiveness. Then, we rigorously derive upper and lower bounds on the attack detecting probability of MTDs with a given rank of the composite matrix. Furthermore, we analyse existing planning methods and highlight the importance of bus coverage by D-FACTS devices. To improve the detection effectiveness, we propose a novel graph theory–based planning algorithm to retain the maximum rank of the composite matrix while covering all necessary buses. Comparative results on multiple systems show the high detecting effectiveness of the proposed algorithm in both DC- and AC-SE.

Abstract Image

智能电网中移动目标防御的系统规划,以最大限度地提高对虚假数据注入攻击的检测效率
移动目标防御(MTD)在阻止电网中针对状态估计(SE)的虚假数据注入攻击方面得到了越来越多的关注。MTD主动扰动配备分布式柔性交流输电系统(D-FACTS)设备的输电线路的电抗,以伪造攻击者对系统配置的了解。然而,现有文献并没有系统地研究影响MTD检测有效性的因素以及如何基于拓扑分析来提高MTD的检测效率。这里从确定D-FACTS放置位置的MTD计划的角度来解决这些问题。我们首先利用了复合矩阵的秩与检测有效性之间的关系。然后,我们严格推导出给定秩的mtd的攻击检测概率的上界和下界。此外,我们分析了现有的规划方法,并强调了D-FACTS设备覆盖总线的重要性。为了提高检测效率,我们提出了一种新的基于图论的规划算法,以保留复合矩阵的最大秩,同时覆盖所有必要的总线。在多个系统上的对比结果表明,该算法在直流系统和交流系统中都具有较高的检测效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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