Ajou University repository

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Showing results 1 to 10 of 1274 (Search time: 0.0 seconds).

Graph-structured data generation and analysis for anomaly detection in an automated manufacturing process
  • 2024-10-01
  • Journal of Mechanical Science and Technology, Vol.38, pp.5617-5625
  • Korean Society of Mechanical Engineers
Multimodel-based Detection Framework for Robust Industrial Control Systems
  • 이석준
  • 2017-02
  • The Graduate School, Ajou University
Comparison of anomaly detection accuracy of host-based intrusion detection systems based on different machine learning algorithmsoa mark
  • 2020-01-01
  • International Journal of Advanced Computer Science and Applications, pp.252-259
  • Science and Information Organization
An Object Detection Algorithm for Anomaly Detection
  • 백재훈
  • 2023-08
  • The Graduate School, Ajou University
Attention-guided residual frame learning for video anomaly detection
  • 2023-03-01
  • Multimedia Tools and Applications, Vol.82, pp.12099-12116
  • Springer
A Comprehensive Network Anomaly Detection Framework based on Protocol Reverse Engineering for Industrial Control System
  • 김현진
  • 2022-02
  • The Graduate School, Ajou University
GAN based augmentation for improving anomaly detection accuracy in host-based intrusion detection systems
  • 2020-01-01
  • International Journal of Engineering Research and Technology, Vol.13, pp.3987-3996
  • International Research Publication House
Industrial network-based behavioral anomaly detection in AI-enabled smart manufacturingoa mark
  • 2022-07-01
  • Journal of Supercomputing, Vol.78, pp.13554-13563
  • Springer
An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDSoa mark
  • 2024-02-29
  • KSII Transactions on Internet and Information Systems, Vol.18, pp.494-510
  • Korean Society for Internet Information
CNN-based anomaly detection for packet payloads of industrial control systemoa mark
  • 2021-01-01
  • International Journal of Sensor Networks, Vol.36, pp.36-49
  • Inderscience Publishers
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