What question did this study set out to answer?

Assess how the real-world events of the late 2015 Ukraine blackout inform the threat model and consequences of false data injection attacks on power systems.

November 22, 2016IEEE Transactions on Power SystemsOpen Access

The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

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Authors

GLGaoqi LiangShenzhen Institute of Information Technology SWSteven R. WellerNew School JZJunhua ZhaoChinese University of Hong Kong, Shenzhen

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Implication

Case analysis reveals sensor manipulation risks in electrical power grids, highlighting severe vulnerabilities to coordinated false data injection attacks.

Key Points

Assess how the real-world events of the late 2015 Ukraine blackout inform the threat model and consequences of false data injection attacks on power systems.
Analyzed system-level vulnerabilities and cyberattack vectors demonstrated during the late 2015 Ukraine power grid incident.
Evaluated the capability of coordinated sensor measurement manipulation to bypass automated bad data detection routines.
Illustrates that stealthy false data injection attacks can evade existing power system bad data detection modules through coordinated measurement corruption.
Indicates that undetected sensor compromises can mislead grid operators into taking erroneous control actions that degrade physical stability and market operations.

Cite This Study

Liang et al. (2016) studied this question.

synapsesocial.com/papers/69dc9fce24e766dc313596b7 https://doi.org/10.1109/tpwrs.2016.2631891

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Implication

Case analysis reveals sensor manipulation risks in electrical power grids, highlighting severe vulnerabilities to coordinated false data injection attacks.

The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

Discussion

Member takes

Implication

Key Points

Cite This Study

The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

Discussion

Member takes

Implication

Key Points

Cite This Study

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