Deep intrusion net: an efficient framework for network intrusion detection using hybrid deep TCN and GRU with integral features
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11276-024-03800-7.pdf
Reference42 articles.
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3. Wang, Z., Zeng, Y., Liu, Y., & Li, D. (2021). Deep belief network integrating improved kernel-based extreme learning machine for network intrusion detection. IEEE Access, 9, 16062–16091.
4. Xie, G., Yang, L. T., Yang, Y., Luo, H., Li, R., & Alazab, M. (2021). Threat analysis for automotive CAN networks: A GAN model-based intrusion detection technique. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4467–4477.
5. Alikhanov, J., Jang, R., Abuhamad, M., Mohaisen, D., Nyang, D., & Noh, Y. (2022). Investigating the effect of traffic sampling on machine learning-based network intrusion detection approaches. IEEE Access, 10, 5801–5823.
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