Work

Inferring ICS Topology and Behavior through Network Traffic Analysis

Year: 2025

Type: conference-paper

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.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.os5-4

Authors: Chien-Wen Tseng, Jung-Shain Li, Chu-Fen Li, I-Hsien Liu

Institutions: National Cheng Kung University, National Formosa University

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funder: National Science and Technology Council