Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost-Reference-Cited by-同舟云学术

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Dealing with Imbalanced Data in Multi-class Network Intrusion Detection Systems Using XGBoost

Published:2021 Issue: Volume: Page:5-21
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

AL-Essa Malik^ORCID,Appice Annalisa^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93733-1_1

Reference34 articles.

1. Ahmad, Z., Shahid Khan, A., Wai Shiang, C., Abdullah, J., Ahmad, F.: Network intrusion detection system: a systematic study of machine learning and deep learning approaches. Trans. Emerg. Telecommun. Technol. 32(1), e4150 (2021). https://doi.org/10.1002/ett.4150

2. Alazzam, H., Sharieh, A., Sabri, K.E.: A feature selection algorithm for intrusion detection system based on pigeon inspired optimizer. Expert Syst. Appl. 148, 113249 (2020). https://doi.org/10.1016/j.eswa.2020.113249

3. Lecture Notes in Computer Science;F Alin,2020

4. Andresini, G., Appice, A., Di Mauro, N., Loglisci, C., Malerba, D.: Exploiting the auto-encoder residual error for intrusion detection. In: 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS PW), pp. 281–290. IEEE (2019)

5. Andresini, G., Appice, A., Malerba, D.: Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. 569, 706–727 (2021). https://doi.org/10.1016/j.ins.2021.05.016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MBC-UBEM-IDS: A Two-Step Intrusion Detection System for Imbalanced Network Traffic;2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP);2023-12-15

2. XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity;Lecture Notes in Computer Science;2022

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