A Fast, Decentralized Covariance Selection-Based Approach to Detect Cyber Attacks in Smart Grids

Moslemi, Ramin; Mesbahi, Afshin; Velni, Javad Mohammadpour

doi:10.1109/tsg.2017.2675960

Cited by 78 publications

(40 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The possibility of cyber-or cyberphysical attacks on power grids has yielded mathematical work designed to detect and reconstruct such attacks. See [1] [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19].…”

Section: A Prior Workmentioning

confidence: 99%

“…Cyber attacks that modify admittances are considered in [18], which also uses inconsistencies in AC the current-voltage relationship to pinpoint the location of an attack. [9] performs PCA (principal component analysis) on the covariance of power flows to discover anomalies by inspecting changes in the smaller eigenvalue modes, also see [20], [10], [11], [12], [21], [22].…”

Section: A Prior Workmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Defense Against Complex Grid Attacks

Bienstock

Escobar

2020

IEEE Trans. Control Netw. Syst.

View full text Add to dashboard Cite

We describe stochastic defense mechanisms designed to detect sophisticated grid attacks involving both physical actions (including load modification) and sensor output alteration. The attacks are undetectable under a full AC power flow model even assuming ubiquitous sensor placement, while hiding large line overloads. We first show that such attacks can be computed in the case of large transmission systems. The defensive techniques apply network control actions that change voltages in a random fashion in particular by introducing (random) low-rank corrections to covariance matrices.Index Terms-Security, cyberphysical power grid attacks.

show abstract

Section: A Prior Workmentioning

confidence: 99%

Section: A Prior Workmentioning

confidence: 99%

Stochastic Defense Against Complex Grid Attacks

Bienstock

Escobar

2020

IEEE Trans. Control Netw. Syst.

View full text Add to dashboard Cite

show abstract

“…Generators in this system have high robustness to spoofing attacks. Two possible explanations include the initial higher load rate Q (Q ij = f ij /C ij ) of these branches (such as Q (6,11) = 70.4%, Q (16,19) = 76.7%, Q (21,22) = 67.7%, and Q (21,22) = 59% (Q average = 35.9%)) and the unreasonable partial design of topology (like branch (2,25). Others --Remark 1.…”

Section: Simulation With Ieee 39-bus System In Thismentioning

confidence: 99%

“…the IEEE 118-bus system (including 54 generators, 54 loads, and 186 branches) is considered as a large standard test system to investigate the effectiveness of the proposed model approach [2]. It is assumed that utilities are divided into six regions, as 10 (a) 7 8 Cost/100 MVA shown in Fig.…”

Section: Computational Complexity In This Sectionmentioning

confidence: 99%

A new model approach of electrical cyber physical systems considering cyber security

Wang

Yan

2018

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

The integration of modern computing and advanced communication technologies with power grids has led to the emergence of electrical cyber physical systems (ECPSs). However, with the massive applications of communication technologies, power grids are becoming more vulnerable to cyber attacks, and there is no general model for analyzing the influence of such attacks. This paper focuses on modeling ECPSs considering cyber security. A multiple characteristic association (MCA) approach is proposed for analyzing cascading failures and cyber attacks based on the DC power flow model. It can comprehensively and qualitatively formulate the characteristics of power grids, communication facilities, and their interdependent relationships. The proposed model approach has good expansibility when analyzing the mechanism and impacts of cyber attacks. Three possible cyber attack scenarios (denial‐of‐service attack, uplink spoofing attack, and downlink spoofing attack) are qualitatively studied. Simulation results with IEEE systems verify that cyber attacks happening on information uplinks or downlinks have different impacts on power grids. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

show abstract

“…The first category includes methods aimed to secure selected measurement meters to not give an opportunity to launch a FDIA [5], [6], [7], [8]. The second category addresses methods can be referred to detection-based defense [9], [10], [11], [12], [13], [14], [15], [16].…”

Section: A Motivation and Literature Reviewmentioning

confidence: 99%

Cyberattack Detection in Intelligent Grids Using Non-linear Filtering

Lukicheva

Pozo

Kulikov

2018

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

View full text Add to dashboard Cite

Electric power grids are evolving towards intellectualization such as Smart Grids or active-adaptive networks. Intelligent power network implies usage of sensors, smart meters, electronic devices and sophisticated communication network. This leads to a strong dependence on information and communication networking that are prone to threats of cyberattacks, which challenges power system reliability and efficiency. Thus, significant attention should be paid to the Smart Grids security.Recently, it has been proven that False Data Injection Attacks (FDIA) could corrupt results of State Estimation (SE) without noticing, therefore, leading to a possible mis-operation of the whole power system.In this paper, we introduce an algorithm for detecting cyberattacks based on non-linear filtering by using cyber-physical information from Kirchhoff laws. The proposed algorithm only needs data from adjacent nodes, therefore can be locally and distributed implemented. Also, it requires very low computational effort so that it can be run online, and it is suitable for implementation in existing or new ad-hoc low-cost devices.The proposed algorithm could be helpful to increase power system awareness against FDIA complementing the current SE implementations. The efficiency of the proposed algorithm has been proved by mathematical simulations and computer modeling in PSCAD software. Our results show that the proposed methodology can detect cyberattacks to the SE in 99.9% of the cases with very little false alarms on the identification of spoiled measurements (4.6%).

show abstract

A Fast, Decentralized Covariance Selection-Based Approach to Detect Cyber Attacks in Smart Grids

Cited by 78 publications

References 24 publications

Stochastic Defense Against Complex Grid Attacks

Stochastic Defense Against Complex Grid Attacks

A new model approach of electrical cyber physical systems considering cyber security

Cyberattack Detection in Intelligent Grids Using Non-linear Filtering

Contact Info

Product

Resources

About