Inferring ICS Topology and Behavior through Network Traffic Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ensuring the proper operation of industrial control systems (ICS) is a critical issue. Previous studies have focused on observing the controllers directly; however, this research proposes that analyzing network traffic could reduce system interference. This study utilizes a cybersecurity testing platform for dam systems to investigate network traffic to infer the composition of network nodes and the communication behavior between them. By doing so, it provides an alternative perspective for monitoring ICS operations. This model aids in understanding system topology, tracking potential deviations, and ensuring operational stability.

Original languageEnglish
Title of host publicationProceedings of The 2025 International Conference on Artificial Life and Robotics, ICAROB 2025
EditorsYingmin Jia, Takao Ito, Ju-Jang Lee
PublisherALife Robotics Corporation Ltd
Pages128-131
Number of pages4
ISBN (Print)9784991333729
Publication statusPublished - 2025
Event30th International Conference on Artificial Life and Robotics, ICAROB 2025 - Oita, Japan
Duration: 2025 Feb 132025 Feb 16

Publication series

NameProceedings of International Conference on Artificial Life and Robotics
ISSN (Electronic)2435-9157

Conference

Conference30th International Conference on Artificial Life and Robotics, ICAROB 2025
Country/TerritoryJapan
CityOita
Period25-02-1325-02-16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation

Fingerprint

Dive into the research topics of 'Inferring ICS Topology and Behavior through Network Traffic Analysis'. Together they form a unique fingerprint.

Cite this