Cyber security considerations on PMU-based state estimation

Sagnik Basumallik, Sara Eftekharnejad, Nathan Davis, Nagarjuna Nuthalapati, Brian K. Johnson

Research output: Chapter in Book/Entry/PoemConference contribution

2 Scopus citations


State estimation allows continuous monitoring of a power system by estimating the power system state variables from measurement data. Unfortunately, the measurement data provided by the devices can serve as attack vectors for false data injection attacks. As more components are connected to the internet, power system is exposed to various known and unknown cyber threats. Previous investigations have shown that false data can be injected on data from traditional meters that bypasses bad data detection systems. This paper extends this investigation by giving an overview of cyber security threats to phasor measurement units, assessing the impact of false data injection on hybrid state estimators and suggesting security recommendations. Simulations are performed on IEEE-30 and 118 bus test systems.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th Cybersecurity Symposium, CyberSec 2018
PublisherAssociation for Computing Machinery
ISBN (Print)9781450364065
StatePublished - Apr 9 2018
Event5th Cybersecurity Symposium, CyberSec 2018 - Coeur d'Alene, United States
Duration: Apr 9 2018Apr 11 2018

Publication series

NameACM International Conference Proceeding Series


Other5th Cybersecurity Symposium, CyberSec 2018
Country/TerritoryUnited States
CityCoeur d'Alene


  • Bad Data Detection
  • False Data Injection
  • Hybrid State Estimation

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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