论文标题

基于工业物联网的智能网格

Adversarial Models Towards Data Availability and Integrity of Distributed State Estimation for Industrial IoT-Based Smart Grid

论文作者

Reda, Haftu Tasew, Mahmood, Abdun, Anwar, Adnan, Chilamkurti, Naveen

论文摘要

分布式状态估计(DSE)的安全问题是快速增长的智能网格生态系统的重要前景。针对国家估计器分布式系统的任何协调的网络攻击都可能导致不受限制的估计错误,并可能导致无数的安全风险,包括电源系统操作的故障。本文探讨了由DSE漏洞的开发引起的智能电网的安全威胁。为此,提出了基于两阶段数据可用性和完整性攻击的新型对抗性策略,提出了分布式工业互联网的智能电网。前者的攻击目标是防止分布式控制中心之间的边界数据交换,而后者的攻击目标是注入伪造的数据,以导致本地和全球系统无法观察到。提出的框架对IEEE标准14总线系统进行了评估,并针对最先进的研究进行了基准测试。实验结果表明,与正常工作条件下的误差为10^-3的误差相比,提出的两阶段网络攻击估计误差约为34.74%。

Security issue of distributed state estimation (DSE) is an important prospect for the rapidly growing smart grid ecosystem. Any coordinated cyberattack targeting the distributed system of state estimators can cause unrestrained estimation errors and can lead to a myriad of security risks, including failure of power system operation. This article explores the security threats of a smart grid arising from the exploitation of DSE vulnerabilities. To this aim, novel adversarial strategies based on two-stage data availability and integrity attacks are proposed towards a distributed industrial Internet of Things-based smart grid. The former's attack goal is to prevent boundary data exchange among distributed control centers, while the latter's attack goal is to inject a falsified data to cause local and global system unobservability. The proposed framework is evaluated on IEEE standard 14-bus system and benchmarked against the state-of-the-art research. Experimental results show that the proposed two-stage cyberattack results in an estimated error of approximately 34.74% compared to an error of the order of 10^-3 under normal operating conditions.

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