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 proceedingConference 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 languageEnglish
    Title of host publicationAdvances in Harmony Search, Soft Computing and Applications, ICHSA 2019
    EditorsJoong Hoon Kim, Zong Woo Geem, Donghwi Jung, Do Guen Yoo, Anupam Yadav
    PublisherSpringer
    Pages82-88
    Number of pages7
    ISBN (Print)9783030319663
    DOIs
    Publication statusPublished - 2020
    Event5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019 - Kunming, China
    Duration: 2019 Jul 202019 Jul 22

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume1063
    ISSN (Print)2194-5357
    ISSN (Electronic)2194-5365

    Conference

    Conference5th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2019
    Country/TerritoryChina
    CityKunming
    Period19/7/2019/7/22

    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

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