The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
Abstract
Abstract Feature selection plays a vital role in building machine learning models. Irrelevant features in data affect the accuracy of the model and increase the training time needed to build the model. Feature selection is an important process to build Intrusion Detection System (IDS). In this paper, a wrapper feature selection algorithm for IDS is proposed. This algorithm uses the pigeon inspired optimizer to utilize the selection process. A new method to binarize a continuous pigeon inspired optimizer is proposed and compared to the traditional way for binarizing continuous swarm intelligent algorithms. The proposed algorithm was evaluated using three popular datasets: KDDCUP99, NLS-KDD and UNSW-NB15. The proposed algorithm outperformed several feature selection algorithms from state-of-the-art related works in terms of TPR, FPR, accuracy, and F-score. Also, the proposed cosine similarity method for binarizing the algorithm has a faster convergence than the sigmoid method.
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Cites
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Cited by
A bidirectional LSTM deep learning approach for intrusion detection
Imrana, Y., Xiang, Y., Ali, L., & Abdul-Rauf, Z. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115524 · Cited by 432
A machine learning-based intrusion detection for detecting internet of things network attacks
Kayode Saheed, Y., Idris Abiodun, A., Misra, S., Kristiansen Holone, M., & Colomo-Palacios, R. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.02.063 · Cited by 371
A systematic literature review for network intrusion detection system (IDS)
Abdulganiyu, O. H., Ait Tchakoucht, T., & Saheed, Y. K. (2023) · International Journal of Information Security · doi:10.1007/s10207-023-00682-2 · Cited by 279
Ullah, F., Ullah, S., Srivastava, G., & Lin, J. C.-W. (2024) · Digital Communications and Networks · doi:10.1016/j.dcan.2023.03.008 · Cited by 266
Tu, S., Waqas, M., Badshah, A., Yin, M., & Abbas, G. (2023) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2023.3319953 · Cited by 22
Metadata
- Authors
- Alazzam, H., Sharieh, A., & Sabri, K. E.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 148
- Pages
- 113249
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W3001675796
- Cited by
- 398
- References
- 34
- FWCI
- 29.11
- Type
- journal article
- Language
- en
- Open access
- closed
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