The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2022.0131057
PDF

Detection of Cyber-Physical Attacks using Physical Model with Nonparametric EWMA Detector

Author 1: Joko Supriyadi
Author 2: Jazi Eko Istiyanto
Author 3: Agfianto Eko Putra

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Industrial Control System (ICS) can suffer of cyber-physical attacks resulting in accident, damage, or financial loss. The attacks can be detected in both in physical space or cyberspace of the ICS. The detection in physical space can be based on physical models of the system. To model the physical system this study uses a data-driven modeling approach as an alternative of the analytic one. This study models the system using the dynamic mode decomposition method with control (DMDc) assuming a full state measurement. The attack detector used in some researches with predictive physical models is the cumulative sum (CUSUM), which only applies to normally distribute residual data. To detect any cyber-physical attack, this research uses a nonparametric exponentially weighted moving average (EWMA) detector. This study uses a data set from a testbed of Secure Water Treatment (SWaT). The approach used in this study was successful in detecting 8 out of 10 attacks on the first SWaT subsystem. This study demonstrates that DMDc used in this study results a better goodness of fit and the nonparametric EWMA can be used as an alternative as detector when residual data do not follow a normal distribution.

Keywords: Industrial control systems; cyber-physical attacks; physical model; dynamic mode decomposition method with control (DMDc); nonparametric exponentially weighted moving average (EWMA)

Joko Supriyadi, Jazi Eko Istiyanto and Agfianto Eko Putra, “Detection of Cyber-Physical Attacks using Physical Model with Nonparametric EWMA Detector” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131057

@article{Supriyadi2022,
title = {Detection of Cyber-Physical Attacks using Physical Model with Nonparametric EWMA Detector},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131057},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131057},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Joko Supriyadi and Jazi Eko Istiyanto and Agfianto Eko Putra}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org