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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
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
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
Frequency-Based Representation of Massive Alerts and Combination of Indicators by Heterogeneous Intrusion Detection Systems for Anomaly Detectionoa mark
  • 2022-06-01
  • Sensors, Vol.22
  • MDPI
Network Intrusion Detection in Internet of Blended Environment Using Ensemble of Heterogeneous Autoencoders (E-HAE)oa mark
  • Jilcha, Lelisa Adeba;
  • Kim, Deuk Hun;
  • Jang-Jaccard, Julian;
  • Kwak, Jin
  • 2023-01-01
  • Computer Systems Science and Engineering, Vol.46, pp.3261-3284
  • Tech Science Press
A Comprehensive Survey of Generative Adversarial Networks (GANs) in Cybersecurity Intrusion Detectionoa mark
  • Dunmore, Aeryn;
  • Jang-Jaccard, Julian;
  • Sabrina, Fariza;
  • Kwak, Jin
  • 2023-01-01
  • IEEE Access, Vol.11, pp.76071-76094
  • Institute of Electrical and Electronics Engineers Inc.
Multimodel-based Detection Framework for Robust Industrial Control Systems
  • 이석준
  • 2017-02
  • The Graduate School, Ajou University
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
Pattern Augmented Lightweight Convolutional Neural Network for Intrusion Detection Systemoa mark
  • 2024-03-01
  • Electronics (Switzerland), Vol.13
  • Multidisciplinary Digital Publishing Institute (MDPI)
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