Comparison of ensemble learning methods applied to network intrusion detection-Reference-Cited by-同舟云学术

Comparison of ensemble learning methods applied to network intrusion detection

Published:2017-03-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing
language:
Short-container-title:

Author:

Belouch Mustapha¹,hadaj Salah El²

Affiliation:

1. Faculty of Sciences and Techniques, Marrakech, Morocco

2. ENCG, Marrakech, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3018896.3065830

Reference19 articles.

1. L. P. Cordella and C. Sansone. A multi-stage classification system for detecting intrusions in computer networks. Pattern analysis and applications 10(2):83--100 2007. 10.1007/s10044-006-0053-7 L. P. Cordella and C. Sansone. A multi-stage classification system for detecting intrusions in computer networks. Pattern analysis and applications 10(2):83--100 2007. 10.1007/s10044-006-0053-7

2. O. Depren M. Topallar E. Anarim and M. K. Ciliz. An intelligent intrusion detection system (ids) for anomaly and misuse detection in computer networks. Expert systems with Applications 29(4):713--722 2005. 10.1016/j.eswa.2005.05.002 O. Depren M. Topallar E. Anarim and M. K. Ciliz. An intelligent intrusion detection system (ids) for anomaly and misuse detection in computer networks. Expert systems with Applications 29(4):713--722 2005. 10.1016/j.eswa.2005.05.002

3. I. Detection. Intrusion detection: a brief history and overview. 2002. I. Detection. Intrusion detection: a brief history and overview. 2002.

4. Y. Freund R. E. Schapire etal Experiments with a new boosting algorithm. In icml volume 96 pages 148--156 1996. Y. Freund R. E. Schapire et al. Experiments with a new boosting algorithm. In icml volume 96 pages 148--156 1996.

Cited by 14 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: a hybrid machine and deep learning approach;Journal of Cloud Computing;2024-07-17

2. A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation;Expert Systems with Applications;2024-06

3. ETSA-LP: Ensemble Time-Series Approach for Load Prediction in Cloud;Computing and Informatics;2024

4. Scalable Inline Network-Intrusion Detection System with Minimized Memory Requirement;Electronics;2023-04-29

5. An empirical assessment of ensemble methods and traditional machine learning techniques for web-based attack detection in industry 5.0;Journal of King Saud University - Computer and Information Sciences;2023-03