Evaluation of Supervised Machine Learning Algorithms for Multi-class Intrusion Detection Systems

Author:

Kaddoura Sanaa,Arid Amal El,Moukhtar Mirna

Publisher

Springer International Publishing

Cited by 8 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. Enhancing Intrusion Detection Systems Using Machine Learning Classifiers on the CSE-CIC-IDS2018 Dataset;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23

2. An online ensemble classification algorithm for multi-class imbalanced data stream;Knowledge and Information Systems;2024-07-16

3. Machine Learning-Based Classification Approach for Network Intrusion Detection System;2024 15th Annual Undergraduate Research Conference on Applied Computing (URC);2024-04-24

4. Online active learning method for multi-class imbalanced data stream;Knowledge and Information Systems;2023-12-23

5. Protocol Aware Unsupervised Network Intrusion Detection System;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01

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