Application of Optimized Bidirectional Generative Adversarial Network in ICS Intrusion Detection
| Title | Application of Optimized Bidirectional Generative Adversarial Network in ICS Intrusion Detection |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Liu, H., Zhou, Z., Zhang, M. |
| Conference Name | 2020 Chinese Control And Decision Conference (CCDC) |
| Keywords | BiGAN, Computational modeling, control engineering computing, control system security, data acquisition, generative adversarial networks, high-dimensional network traffic data, ICS intrusion detection method, industrial control, industrial control system, industrial control systems, integrated circuits, Intrusion detection, massive network traffic data, network intrusion detection, neural nets, optimal model, optimisation, Optimization, optimized bidirectional generative adversarial network, optimized BiGAN, parameter optimization, pubcrawl, resilience, Resiliency, SCADA, SCADA systems, Scalability, security of data, single variable principle, supervised control, Training |
| Abstract | Aiming at the problem that the traditional intrusion detection method can not effectively deal with the massive and high-dimensional network traffic data of industrial control system (ICS), an ICS intrusion detection strategy based on bidirectional generative adversarial network (BiGAN) is proposed in this paper. In order to improve the applicability of BiGAN model in ICS intrusion detection, the optimal model was obtained through the single variable principle and cross-validation. On this basis, the supervised control and data acquisition (SCADA) standard data set is used for comparative experiments to verify the performance of the optimized model on ICS intrusion detection. The results show that the ICS intrusion detection method based on optimized BiGAN has higher accuracy and shorter detection time than other methods. |
| DOI | 10.1109/CCDC49329.2020.9164558 |
| Citation Key | liu_application_2020 |
- optimal model
- Training
- supervised control
- single variable principle
- security of data
- Scalability
- SCADA systems
- SCADA
- Resiliency
- resilience
- pubcrawl
- parameter optimization
- optimized BiGAN
- optimized bidirectional generative adversarial network
- optimization
- optimisation
- network intrusion detection
- neural nets
- massive network traffic data
- Intrusion Detection
- integrated circuits
- Industrial Control Systems
- industrial control system
- industrial control
- ICS intrusion detection method
- high-dimensional network traffic data
- generative adversarial networks
- data acquisition
- control system security
- control engineering computing
- Computational modeling
- BiGAN