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A Diffusion Model Based on Network Intrusion Detection Method for Industrial Cyber-Physical Systems.

Bin Tang1,2, Yan Lu3, Qi Li3

  • 1Qingdao Innovation and Development Base, Harbin Engineering University, Qingdao 266000, China.

Sensors (Basel, Switzerland)
|February 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an Industrial Cyber-Physical Systems (ICPS) intrusion detection system using a diffusion model to balance data. This approach enhances network security by improving the detection of rare intrusion events.

Keywords:
BiLSTMICPSdiffusion modelimbalanced dataintrusion detection

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Area of Science:

  • Cybersecurity
  • Artificial Intelligence
  • Industrial Automation

Background:

  • Industrial Cyber-Physical Systems (ICPS) integrate intelligent manufacturing equipment, creating interconnected factories.
  • ICPS are vulnerable to cyber intrusions, leading to information leakage and equipment damage.
  • Existing network intrusion detection models struggle with imbalanced datasets, neglecting rare but critical threat classes.

Purpose of the Study:

  • To propose a novel Industrial Cyber-Physical Systems Intrusion Detection (IDD) system.
  • To address the data imbalance challenge in ICPS network intrusion detection.
  • To improve the classification performance of intrusion detection models for rare events.

Main Methods:

  • Utilized a diffusion model to generate synthetic data for underrepresented (rare) classes.
  • Balanced the training dataset by incorporating the generated rare class data.
  • Employed an improved BiLSTM classification network trained on the balanced dataset.

Main Results:

  • The proposed IDD method demonstrated superior performance compared to existing baseline methods.
  • Effective generation of rare class data by the diffusion model led to a more balanced training set.
  • Significant improvement in the classification accuracy for detecting ICPS intrusions.

Conclusions:

  • The diffusion model-based IDD system effectively mitigates the data imbalance problem in ICPS intrusion detection.
  • The IDD approach offers a promising solution for enhancing the network security of intelligent factories.
  • Further research can explore advanced generative models for more robust intrusion detection systems.