Can predictive filters detect gradually ramping false data injection attacks against PMUs?

Zhigang Chu; Andrea Pinceti; Reetam Sen Biswas; Oliver Kosut; Anamitra Pal; Lalitha Sankar

doi:10.1109/SmartGridComm.2019.8909739

Can predictive filters detect gradually ramping false data injection attacks against PMUs?

Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar

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

5 Scopus citations

Abstract

Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the χ²-test based bad data detector (BDD), resulting in physical consequences (such as line overloads) in the power system. In this paper, using synthetic PMU measurements and intelligently designed FDI attacks, it is shown that if an attack is suddenly injected into the system, a predictive filter with sufficient accuracy is able to detect it. However, an attacker can gradually increase the magnitude of the attack to avoid detection, and still cause damage to the system.

Original language	English (US)
Title of host publication	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538680995
DOIs	https://doi.org/10.1109/SmartGridComm.2019.8909739
State	Published - Oct 2019
Event	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019 - Beijing, China Duration: Oct 21 2019 → Oct 23 2019

Publication series

Name	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019

Conference

Conference	2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019
Country/Territory	China
City	Beijing
Period	10/21/19 → 10/23/19

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization
Transportation

Access to Document

10.1109/SmartGridComm.2019.8909739

Cite this

Chu, Z., Pinceti, A., Biswas, R. S., Kosut, O., Pal, A., & Sankar, L. (2019). Can predictive filters detect gradually ramping false data injection attacks against PMUs? In 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019 Article 8909739 (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartGridComm.2019.8909739

Can predictive filters detect gradually ramping false data injection attacks against PMUs? / Chu, Zhigang; Pinceti, Andrea; Biswas, Reetam Sen et al.
2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8909739 (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019).

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

Chu, Z, Pinceti, A, Biswas, RS, Kosut, O , Pal, A & Sankar, L 2019, Can predictive filters detect gradually ramping false data injection attacks against PMUs? in 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019., 8909739, 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019, Beijing, China, 10/21/19. https://doi.org/10.1109/SmartGridComm.2019.8909739

Chu Z, Pinceti A, Biswas RS, Kosut O , Pal A , Sankar L. Can predictive filters detect gradually ramping false data injection attacks against PMUs? In 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8909739. (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019). doi: 10.1109/SmartGridComm.2019.8909739

Chu, Zhigang ; Pinceti, Andrea ; Biswas, Reetam Sen et al. / Can predictive filters detect gradually ramping false data injection attacks against PMUs?. 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019).

@inproceedings{ec0ea1082b854a538fc4ea65d6bfe676,

title = "Can predictive filters detect gradually ramping false data injection attacks against PMUs?",

abstract = "Intelligently designed false data injection (FDI) attacks have been shown to be able to bypass the χ2-test based bad data detector (BDD), resulting in physical consequences (such as line overloads) in the power system. In this paper, using synthetic PMU measurements and intelligently designed FDI attacks, it is shown that if an attack is suddenly injected into the system, a predictive filter with sufficient accuracy is able to detect it. However, an attacker can gradually increase the magnitude of the attack to avoid detection, and still cause damage to the system.",

author = "Zhigang Chu and Andrea Pinceti and Biswas, {Reetam Sen} and Oliver Kosut and Anamitra Pal and Lalitha Sankar",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019 ; Conference date: 21-10-2019 Through 23-10-2019",

year = "2019",

month = oct,

doi = "10.1109/SmartGridComm.2019.8909739",

language = "English (US)",

series = "2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019",