A propagation model with defensive measures for PLC-PC worms in industrial networks

Yu Yao, Chuan Sheng, Qiang Fu, Hanxin Liu, Dajin Wang

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Programmable logic controllers (PLCs) are important components of industrial control systems (ICSs), which are digital electronic devices with microprocessors and lack network security considerations. With the explosion of cyber-attacks on the ICS network, the concept of the worm known as PLC-PC worm that can spread between the Internet and ICS network has attracted a great deal of attention. In this paper, for the first time, we propose a propagation model to explore the spread behavior of PLC-PC worms across the PLC-PC coupled network. Theoretical analysis of the model shows the disease-free and endemic equilibriums of the network with defensive measures. And the stability of the model is examined by an epidemic threshold value. Several numerical and simulation experiments are presented to illustrate the analysis. Based on the results, some ideas for restraining the spread of PLC-PC worms or reducing the security threats of the ICS network are suggested.

Original languageEnglish
Pages (from-to)696-713
Number of pages18
JournalApplied Mathematical Modelling
Volume69
DOIs
StatePublished - 1 May 2019

Fingerprint

Programmable Logic Controller
Worm
Programmable logic controllers
Propagation
Control System
Control systems
Model
Endemic Equilibrium
Network Security
Network security
Microprocessor
Threshold Value
Explosion
Simulation Experiment
Explosions
Microprocessor chips
Theoretical Analysis
Attack
Numerical Experiment
Electronics

Keywords

  • Defensive measures
  • ICS network
  • Industrial security
  • PLC-PC worms
  • Propagation model

Cite this

Yao, Yu ; Sheng, Chuan ; Fu, Qiang ; Liu, Hanxin ; Wang, Dajin. / A propagation model with defensive measures for PLC-PC worms in industrial networks. In: Applied Mathematical Modelling. 2019 ; Vol. 69. pp. 696-713.
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A propagation model with defensive measures for PLC-PC worms in industrial networks. / Yao, Yu; Sheng, Chuan; Fu, Qiang; Liu, Hanxin; Wang, Dajin.

In: Applied Mathematical Modelling, Vol. 69, 01.05.2019, p. 696-713.

Research output: Contribution to journalArticleResearchpeer-review

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