Cyber security considerations on PMU-based state estimation

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

doi:10.1145/3212687.3212874

Cyber security considerations on PMU-based state estimation

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

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Proceedings of the 5th Cybersecurity Symposium, CyberSec 2018
Publisher	Association for Computing Machinery
ISBN (Print)	9781450364065
DOIs	https://doi.org/10.1145/3212687.3212874
State	Published - Apr 9 2018
Event	5th Cybersecurity Symposium, CyberSec 2018 - Coeur d'Alene, United States Duration: Apr 9 2018 → Apr 11 2018

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	5th Cybersecurity Symposium, CyberSec 2018
Country/Territory	United States
City	Coeur d'Alene
Period	4/9/18 → 4/11/18

Keywords

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

Access to Document

10.1145/3212687.3212874

Cite this

Cyber security considerations on PMU-based state estimation. / Basumallik, Sagnik; Eftekharnejad, Sara; Davis, Nathan et al.

Proceedings of the 5th Cybersecurity Symposium, CyberSec 2018. Association for Computing Machinery, 2018. a14 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Basumallik, S, Eftekharnejad, S, Davis, N, Nuthalapati, N & Johnson, BK 2018, Cyber security considerations on PMU-based state estimation. in Proceedings of the 5th Cybersecurity Symposium, CyberSec 2018., a14, ACM International Conference Proceeding Series, Association for Computing Machinery, 5th Cybersecurity Symposium, CyberSec 2018, Coeur d'Alene, United States, 4/9/18. https://doi.org/10.1145/3212687.3212874

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title = "Cyber security considerations on PMU-based state estimation",

abstract = "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.",

keywords = "Bad Data Detection, False Data Injection, Hybrid State Estimation",

author = "Sagnik Basumallik and Sara Eftekharnejad and Nathan Davis and Nagarjuna Nuthalapati and Johnson, {Brian K.}",

note = "Funding Information: This work is supported by the National Science Foundation (NSF) Grant No. 1600058. Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery.; 5th Cybersecurity Symposium, CyberSec 2018 ; Conference date: 09-04-2018 Through 11-04-2018",

year = "2018",

month = apr,

day = "9",

doi = "10.1145/3212687.3212874",

language = "English (US)",

isbn = "9781450364065",

series = "ACM International Conference Proceeding Series",

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T1 - Cyber security considerations on PMU-based state estimation

AU - Basumallik, Sagnik

AU - Eftekharnejad, Sara

AU - Davis, Nathan

AU - Nuthalapati, Nagarjuna

AU - Johnson, Brian K.

PY - 2018/4/9

Y1 - 2018/4/9

N2 - 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.

AB - 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.

KW - Bad Data Detection

KW - False Data Injection

KW - Hybrid State Estimation

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ER -

Cyber security considerations on PMU-based state estimation

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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