Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems

Kyoung Won Min; Young Hwan Choi; Abobakr Khalil Al-Shamiri; Joong Hoon Kim

doi:10.1007/978-3-030-31967-0_10

Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems

Kyoung Won Min, Young Hwan Choi, Abobakr Khalil Al-Shamiri, Joong Hoon Kim

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

1 Citation (Scopus)

Abstract

Cyber-physical systems (CPSs) have been applied to water distribution systems for the efficient system operation and maintenance as an application field of fourth industrial revolution. Although CPSs technology is an efficient technology based on information communication technology, it is vulnerable to cyber-attack due to information disturbance of sensor and communication server. These cyber-attack causes serious problems in the operation of the water distribution systems such as decreases of water supply, water pollution and damage to physical systems. Therefore, a few studies were performed to organize the various cyber-attack scenarios and cyber-attack detection algorithms were developed. In this study, an artificial neural network model is applied for the detection of cyber-attack by varying the number of neurons. The developed detection technique can be contributed to the establishment of reliable the water distribution systems in real operation.

Original language	English
Title of host publication	Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019
Editors	Joong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
Publisher	Springer
Pages	82-88
Number of pages	7
ISBN (Print)	9783030319663
DOIs	https://doi.org/10.1007/978-3-030-31967-0_10
Publication status	Published - 2020
Event	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China Duration: 2019 Jul 20 → 2019 Jul 22

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1063
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
Country/Territory	China
City	Kunming
Period	19/7/20 → 19/7/22

Bibliographical note

Funding Information:
Acknowledgements. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306).

Funding Information:
This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306).

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Artificial neural network
Cyber-attack detection
Neurons
Optimization

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-31967-0_10

Cite this

Min, K. W., Choi, Y. H., Al-Shamiri, A. K., & Kim, J. H. (2020). Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems. In J. H. Kim, Z. W. Geem, D. Jung, D. G. Yoo, & A. Yadav (Eds.), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019 (pp. 82-88). (Advances in Intelligent Systems and Computing; Vol. 1063). Springer. https://doi.org/10.1007/978-3-030-31967-0_10

Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems. / Min, Kyoung Won; Choi, Young Hwan; Al-Shamiri, Abobakr Khalil et al.
Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. ed. / Joong Hoon Kim; Zong Woo Geem; Donghwi Jung; Do Guen Yoo; Anupam Yadav. Springer, 2020. p. 82-88 (Advances in Intelligent Systems and Computing; Vol. 1063).

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

Min, KW, Choi, YH, Al-Shamiri, AK & Kim, JH 2020, Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems. in JH Kim, ZW Geem, D Jung, DG Yoo & A Yadav (eds), Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. Advances in Intelligent Systems and Computing, vol. 1063, Springer, pp. 82-88, 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019, Kunming, China, 19/7/20. https://doi.org/10.1007/978-3-030-31967-0_10

Min KW, Choi YH, Al-Shamiri AK, Kim JH. Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems. In Kim JH, Geem ZW, Jung D, Yoo DG, Yadav A, editors, Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. Springer. 2020. p. 82-88. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-31967-0_10

Min, Kyoung Won ; Choi, Young Hwan ; Al-Shamiri, Abobakr Khalil et al. / Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems. Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019. editor / Joong Hoon Kim ; Zong Woo Geem ; Donghwi Jung ; Do Guen Yoo ; Anupam Yadav. Springer, 2020. pp. 82-88 (Advances in Intelligent Systems and Computing).

@inproceedings{80be773501d14910b240184405c7e1eb,

title = "Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems",

abstract = "Cyber-physical systems (CPSs) have been applied to water distribution systems for the efficient system operation and maintenance as an application field of fourth industrial revolution. Although CPSs technology is an efficient technology based on information communication technology, it is vulnerable to cyber-attack due to information disturbance of sensor and communication server. These cyber-attack causes serious problems in the operation of the water distribution systems such as decreases of water supply, water pollution and damage to physical systems. Therefore, a few studies were performed to organize the various cyber-attack scenarios and cyber-attack detection algorithms were developed. In this study, an artificial neural network model is applied for the detection of cyber-attack by varying the number of neurons. The developed detection technique can be contributed to the establishment of reliable the water distribution systems in real operation.",

keywords = "Artificial neural network, Cyber-attack detection, Neurons, Optimization",

author = "Min, {Kyoung Won} and Choi, {Young Hwan} and Al-Shamiri, {Abobakr Khalil} and Kim, {Joong Hoon}",

note = "Funding Information: Acknowledgements. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306). Funding Information: This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306). Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 ; Conference date: 20-07-2019 Through 22-07-2019",

year = "2020",

doi = "10.1007/978-3-030-31967-0_10",

language = "English",

isbn = "9783030319663",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "82--88",

editor = "Kim, {Joong Hoon} and Geem, {Zong Woo} and Donghwi Jung and Yoo, {Do Guen} and Anupam Yadav",

booktitle = "Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019",

}

TY - GEN

T1 - Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems

AU - Min, Kyoung Won

AU - Choi, Young Hwan

AU - Al-Shamiri, Abobakr Khalil

AU - Kim, Joong Hoon

N1 - Funding Information: Acknowledgements. This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306). Funding Information: This work was supported by a grant from The National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) (No. 2016R1A2A1A 05005306). Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - Cyber-physical systems (CPSs) have been applied to water distribution systems for the efficient system operation and maintenance as an application field of fourth industrial revolution. Although CPSs technology is an efficient technology based on information communication technology, it is vulnerable to cyber-attack due to information disturbance of sensor and communication server. These cyber-attack causes serious problems in the operation of the water distribution systems such as decreases of water supply, water pollution and damage to physical systems. Therefore, a few studies were performed to organize the various cyber-attack scenarios and cyber-attack detection algorithms were developed. In this study, an artificial neural network model is applied for the detection of cyber-attack by varying the number of neurons. The developed detection technique can be contributed to the establishment of reliable the water distribution systems in real operation.

AB - Cyber-physical systems (CPSs) have been applied to water distribution systems for the efficient system operation and maintenance as an application field of fourth industrial revolution. Although CPSs technology is an efficient technology based on information communication technology, it is vulnerable to cyber-attack due to information disturbance of sensor and communication server. These cyber-attack causes serious problems in the operation of the water distribution systems such as decreases of water supply, water pollution and damage to physical systems. Therefore, a few studies were performed to organize the various cyber-attack scenarios and cyber-attack detection algorithms were developed. In this study, an artificial neural network model is applied for the detection of cyber-attack by varying the number of neurons. The developed detection technique can be contributed to the establishment of reliable the water distribution systems in real operation.

KW - Artificial neural network

KW - Cyber-attack detection

KW - Neurons

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=85076109537&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-31967-0_10

DO - 10.1007/978-3-030-31967-0_10

M3 - Conference contribution

AN - SCOPUS:85076109537

SN - 9783030319663

T3 - Advances in Intelligent Systems and Computing

SP - 82

EP - 88

BT - Advances in Harmony Search, Soft Computing and Applications, ICHSA 2019

A2 - Kim, Joong Hoon

A2 - Geem, Zong Woo

A2 - Jung, Donghwi

A2 - Yoo, Do Guen

A2 - Yadav, Anupam

PB - Springer

T2 - 5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019

Y2 - 20 July 2019 through 22 July 2019

ER -

Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this