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A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization
Open accessAbstract
Supervised intrusion detection system is a system that has the capability of learning from examples about the previous attacks to detect new attacks. Using artificial neural network (ANN)-based intrusion detection is promising for reducing the number of false negative or false positives, because ANN has the capability of learning from actual examples. In this paper, a developed learning model for fast learning network (FLN) based on particle swarm optimization (PSO) has been proposed and named as PSO-FLN. The model has been applied to the problem of intrusion detection and validated based on the famous dataset KDD99. Our developed model has been compared against a wide range of meta-heuristic algorithms for training extreme learning machine and FLN classifier. PSO-FLN has outperformed other learning approaches in the testing accuracy of the learning.
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Cited by
CNN-Based Network Intrusion Detection against Denial-of-Service Attacks
Kim, J., Kim, J., Kim, H., Shim, M., & Choi, E. (2020) · Electronics · doi:10.3390/electronics9060916 · Cited by 420
An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units
Xu, C., Shen, J., Du, X., & Zhang, F. (2018) · IEEE Access · doi:10.1109/access.2018.2867564 · Cited by 339
Explainable Artificial Intelligence in CyberSecurity: A Survey
Capuano, N., Fenza, G., Loia, V., & Stanzione, C. (2022) · IEEE Access · doi:10.1109/access.2022.3204171 · Cited by 330
Azam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access · doi:10.1109/access.2023.3296444 · Cited by 265
Metadata
- Authors
- Ali, M. H., Al Mohammed, B. A. D., Ismail, A., & Zolkipli, M. F.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 20255-20261
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2794786524
- Cited by
- 248
- References
- 0
- FWCI
- 17.43
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ali, M. H., Al Mohammed, B. A. D., Ismail, A., & Zolkipli, M. F. (2018). A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization. IEEE Access. https://doi.org/10.1109/access.2018.2820092
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