Journal ArticleDOI
Attacks on smart grid: power supply interruption and malicious power generation
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TLDR
An investigation into power supply interruption and malicious power generation attacks focusing on process and network vulnerabilities is reported, useful for researchers and smart-grid operators to design and develop effective protection, detection, and response mechanisms.Abstract:
Electric power supply is an essential component for several sectors including manufacturing, healthcare, building management, water distribution, and transportation systems. Hence, any interruption in electric power is likely to have an undesirable impact on the overall operation of any residential or commercial ecosystem. The serious impacts of power supply interruption attacks have been realized in the recent cyber incidents such as the Ukraine power blackout. It is also evident from recent incidents that both network and process vulnerabilities are crucial for an adversary to cause an adverse impact on the operation. This paper reports an investigation into power supply interruption and malicious power generation attacks focusing on process and network vulnerabilities. The investigation was conducted in two steps: First, a vulnerability assessment was conducted on a fully operational electric power testbed. Next, the vulnerabilities discovered were exploited to perform different types of power supply interruption attacks and malicious power generation attacks. The attacks were executed using control code modification and SMA, a PV converter manufacturer, portal manipulation. The attacks reported here are useful for researchers and smart-grid operators to design and develop effective protection, detection, and response mechanisms.read more
Citations
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Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies
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Detection and Isolation of False Data Injection Attacks in Smart Grid via Unknown Input Interval Observer
TL;DR: A novel detection and isolation scheme against the FDI attacks for the large-scale smart grid system is proposed, using the interval residuals regarded as a nature detection threshold to replace the evaluation function and detection threshold used in traditional attack detection methods.
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Data-Driven Cybersecurity Knowledge Graph Construction for Industrial Control System Security
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Book ChapterDOI
A Comprehensive Dataset from a Smart Grid Testbed for Machine Learning Based CPS Security Research
TL;DR: In this paper, a comprehensive dataset from a real-world smart electric grid testbed is collected and shared with the research community, highlighting some of the unique features of the dataset and testbed.
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An Investigation on Feasibility and Security for Cyberattacks on Generator Synchronization Process
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References
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