Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems

Akintunde Samson Alayande; Nnamdi Nwulu; Ayodeji Emmanuel Bakare

doi:10.1109/CTEMS.2018.8769295

Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems

Akintunde Samson Alayande, Nnamdi Nwulu, Ayodeji Emmanuel Bakare

Electrical and Electronic Engineering Science

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

2 Citations (Scopus)

Abstract

False Data Injection Attacks (FDIA) has been shown to be one of the serious security challenges combating power systems. This is becoming a grown concern to power utilities and has drawn the attention of power system researchers and Engineers in recent times. State estimation in power system operation and planning is therefore an important and an essential tool for monitoring and controlling the system to estimate the best state of the power system through meter measurements and power system topologies. This paper therefore presents the modeling and countermeasures for avoiding unnecessary total blackout within the system. The vulnerability of both the Transmission and the distribution power system to FDIA is also considered in this paper. The outcomes of this paper could serve as a basis for the development of necessary protective countermeasures against vulnerabilities within power system networks.

Original language	English
Title of host publication	Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
Editors	S. K. Niranjan, Veena Desai, Vijay S. Rajpurohit, M N Nadkatti
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	129-134
Number of pages	6
ISBN (Electronic)	9781538677094
DOIs	https://doi.org/10.1109/CTEMS.2018.8769295
Publication status	Published - Dec 2018
Event	1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018 - Belagavi, India Duration: 21 Dec 2018 → 23 Dec 2018

Publication series

Name	Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018

Conference

Conference	1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
Country/Territory	India
City	Belagavi
Period	21/12/18 → 23/12/18

Keywords

False Data Injection Attacks (FDIA)
Internet of Things (IoT)
Security
State estimation
Vulnerability

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology
Communication
Computational Mechanics
Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization

Access to Document

10.1109/CTEMS.2018.8769295

Cite this

Alayande, A. S., Nwulu, N., & Bakare, A. E. (2018). Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems. In S. K. Niranjan, V. Desai, V. S. Rajpurohit, & M. N. Nadkatti (Eds.), Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018 (pp. 129-134). Article 8769295 (Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CTEMS.2018.8769295

Alayande, Akintunde Samson ; Nwulu, Nnamdi ; Bakare, Ayodeji Emmanuel. / Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems. Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018. editor / S. K. Niranjan ; Veena Desai ; Vijay S. Rajpurohit ; M N Nadkatti. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 129-134 (Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018).

@inproceedings{b21c27c0d6f043dc9c44caa59636293e,

title = "Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems",

abstract = "False Data Injection Attacks (FDIA) has been shown to be one of the serious security challenges combating power systems. This is becoming a grown concern to power utilities and has drawn the attention of power system researchers and Engineers in recent times. State estimation in power system operation and planning is therefore an important and an essential tool for monitoring and controlling the system to estimate the best state of the power system through meter measurements and power system topologies. This paper therefore presents the modeling and countermeasures for avoiding unnecessary total blackout within the system. The vulnerability of both the Transmission and the distribution power system to FDIA is also considered in this paper. The outcomes of this paper could serve as a basis for the development of necessary protective countermeasures against vulnerabilities within power system networks.",

keywords = "False Data Injection Attacks (FDIA), Internet of Things (IoT), Security, State estimation, Vulnerability",

author = "Alayande, {Akintunde Samson} and Nnamdi Nwulu and Bakare, {Ayodeji Emmanuel}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018 ; Conference date: 21-12-2018 Through 23-12-2018",

year = "2018",

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doi = "10.1109/CTEMS.2018.8769295",

language = "English",

series = "Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018",

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editor = "Niranjan, {S. K.} and Veena Desai and Rajpurohit, {Vijay S.} and Nadkatti, {M N}",

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Alayande, AS, Nwulu, N & Bakare, AE 2018, Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems. in SK Niranjan, V Desai, VS Rajpurohit & MN Nadkatti (eds), Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018., 8769295, Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 129-134, 1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018, Belagavi, India, 21/12/18. https://doi.org/10.1109/CTEMS.2018.8769295

Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems. / Alayande, Akintunde Samson; Nwulu, Nnamdi; Bakare, Ayodeji Emmanuel.
Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018. ed. / S. K. Niranjan; Veena Desai; Vijay S. Rajpurohit; M N Nadkatti. Institute of Electrical and Electronics Engineers Inc., 2018. p. 129-134 8769295 (Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018).

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

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T1 - Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems

AU - Alayande, Akintunde Samson

AU - Nwulu, Nnamdi

AU - Bakare, Ayodeji Emmanuel

PY - 2018/12

Y1 - 2018/12

N2 - False Data Injection Attacks (FDIA) has been shown to be one of the serious security challenges combating power systems. This is becoming a grown concern to power utilities and has drawn the attention of power system researchers and Engineers in recent times. State estimation in power system operation and planning is therefore an important and an essential tool for monitoring and controlling the system to estimate the best state of the power system through meter measurements and power system topologies. This paper therefore presents the modeling and countermeasures for avoiding unnecessary total blackout within the system. The vulnerability of both the Transmission and the distribution power system to FDIA is also considered in this paper. The outcomes of this paper could serve as a basis for the development of necessary protective countermeasures against vulnerabilities within power system networks.

AB - False Data Injection Attacks (FDIA) has been shown to be one of the serious security challenges combating power systems. This is becoming a grown concern to power utilities and has drawn the attention of power system researchers and Engineers in recent times. State estimation in power system operation and planning is therefore an important and an essential tool for monitoring and controlling the system to estimate the best state of the power system through meter measurements and power system topologies. This paper therefore presents the modeling and countermeasures for avoiding unnecessary total blackout within the system. The vulnerability of both the Transmission and the distribution power system to FDIA is also considered in this paper. The outcomes of this paper could serve as a basis for the development of necessary protective countermeasures against vulnerabilities within power system networks.

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Alayande AS, Nwulu N, Bakare AE. Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems. In Niranjan SK, Desai V, Rajpurohit VS, Nadkatti MN, editors, Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 129-134. 8769295. (Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018). doi: 10.1109/CTEMS.2018.8769295

Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems

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