Set-theoretic detection of data corruption attacks on cyber physical power systems

Efstathios Kontouras, Antonios Tzes, Leonidas Dritsas

Research output: Contribution to journalArticle

Abstract

This paper addresses a set-theoretic method for the detection of data corruption cyber-attacks on the load frequency control loop of a networked power system. The system consists of several interconnected control areas forming a power grid. Based on the overall discrete-time network dynamics, a convex and compact polyhedral robust invariant set is extracted and is used as a set-induced anomaly detector. If the state vector exits the invariant set, then an alarm will be activated, and the potential threat is considered disclosed. The attack scenario used to assess the efficiency of the proposed anomaly detector concerns corrupted frequency sensor measurements transmitted to the automatic generation control unit of a compromised control area. Simulation studies highlight the ability of a set-theoretic approach to disclose persistent and intermittent attack patterns even when they occur at the same time with changes in the power load demand.

Original languageEnglish (US)
Pages (from-to)872-886
Number of pages15
JournalJournal of Modern Power Systems and Clean Energy
Volume6
Issue number5
DOIs
StatePublished - Sep 1 2018

Fingerprint

Detectors
Sensors

Keywords

  • Cyber-attacks
  • Load frequency control
  • Power systems
  • Set-theoretic methods

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology

Cite this

Set-theoretic detection of data corruption attacks on cyber physical power systems. / Kontouras, Efstathios; Tzes, Antonios; Dritsas, Leonidas.

In: Journal of Modern Power Systems and Clean Energy, Vol. 6, No. 5, 01.09.2018, p. 872-886.

Research output: Contribution to journalArticle

@article{84812f958557403790568fb0efe7eef6,
title = "Set-theoretic detection of data corruption attacks on cyber physical power systems",
abstract = "This paper addresses a set-theoretic method for the detection of data corruption cyber-attacks on the load frequency control loop of a networked power system. The system consists of several interconnected control areas forming a power grid. Based on the overall discrete-time network dynamics, a convex and compact polyhedral robust invariant set is extracted and is used as a set-induced anomaly detector. If the state vector exits the invariant set, then an alarm will be activated, and the potential threat is considered disclosed. The attack scenario used to assess the efficiency of the proposed anomaly detector concerns corrupted frequency sensor measurements transmitted to the automatic generation control unit of a compromised control area. Simulation studies highlight the ability of a set-theoretic approach to disclose persistent and intermittent attack patterns even when they occur at the same time with changes in the power load demand.",
keywords = "Cyber-attacks, Load frequency control, Power systems, Set-theoretic methods",
author = "Efstathios Kontouras and Antonios Tzes and Leonidas Dritsas",
year = "2018",
month = "9",
day = "1",
doi = "10.1007/s40565-018-0452-y",
language = "English (US)",
volume = "6",
pages = "872--886",
journal = "Journal of Modern Power Systems and Clean Energy",
issn = "2196-5625",
publisher = "Springer Verlag",
number = "5",

}

TY - JOUR

T1 - Set-theoretic detection of data corruption attacks on cyber physical power systems

AU - Kontouras, Efstathios

AU - Tzes, Antonios

AU - Dritsas, Leonidas

PY - 2018/9/1

Y1 - 2018/9/1

N2 - This paper addresses a set-theoretic method for the detection of data corruption cyber-attacks on the load frequency control loop of a networked power system. The system consists of several interconnected control areas forming a power grid. Based on the overall discrete-time network dynamics, a convex and compact polyhedral robust invariant set is extracted and is used as a set-induced anomaly detector. If the state vector exits the invariant set, then an alarm will be activated, and the potential threat is considered disclosed. The attack scenario used to assess the efficiency of the proposed anomaly detector concerns corrupted frequency sensor measurements transmitted to the automatic generation control unit of a compromised control area. Simulation studies highlight the ability of a set-theoretic approach to disclose persistent and intermittent attack patterns even when they occur at the same time with changes in the power load demand.

AB - This paper addresses a set-theoretic method for the detection of data corruption cyber-attacks on the load frequency control loop of a networked power system. The system consists of several interconnected control areas forming a power grid. Based on the overall discrete-time network dynamics, a convex and compact polyhedral robust invariant set is extracted and is used as a set-induced anomaly detector. If the state vector exits the invariant set, then an alarm will be activated, and the potential threat is considered disclosed. The attack scenario used to assess the efficiency of the proposed anomaly detector concerns corrupted frequency sensor measurements transmitted to the automatic generation control unit of a compromised control area. Simulation studies highlight the ability of a set-theoretic approach to disclose persistent and intermittent attack patterns even when they occur at the same time with changes in the power load demand.

KW - Cyber-attacks

KW - Load frequency control

KW - Power systems

KW - Set-theoretic methods

UR - http://www.scopus.com/inward/record.url?scp=85053513596&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053513596&partnerID=8YFLogxK

U2 - 10.1007/s40565-018-0452-y

DO - 10.1007/s40565-018-0452-y

M3 - Article

AN - SCOPUS:85053513596

VL - 6

SP - 872

EP - 886

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

SN - 2196-5625

IS - 5

ER -