A Review of Intrusion Detection Systems: Datasets and machine learning methods-Reference-Cited by-同舟云学术

A Review of Intrusion Detection Systems: Datasets and machine learning methods

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:The 4th International Conference on Networking, Information Systems amp Security.
language:
Short-container-title:

Author:

ARQANE Aouatif¹,Boutkhoum Omar¹,Boukhriss Hicham¹,El Moutaouakkil Abdelmajid¹

Affiliation:

1. Chouaib Doukkali University, Morocco

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3454127.3456576

Reference22 articles.

1. Pescapè, « Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues »;Shamshirband S.;J. Inf. Secur. Appl.,2020

2. Implementing Lightweight IoT-IDS on Raspberry Pi Using Correlation-Based Feature Selection and Its Performance Evaluation

3. An intrusion detection system for connected vehicles in smart cities

4. An adaptive model of a distributed intrusion detection system

Cited by 4 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. A Feature Selection Study on the Bot-IoT Dataset Using Ensemble Classification Techniques;2024 IEEE International Conference on Contemporary Computing and Communications (InC4);2024-03-15

2. An optimized neural network-based IDS against DDoS attacks;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26

3. A Systematic and Comprehensive Survey of Recent Advances in Intrusion Detection Systems Using Machine Learning: Deep Learning, Datasets, and Attack Taxonomy;Journal of Sensors;2023-02-28

4. Design and Testing Novel One-Class Classifier Based on Polynomial Interpolation With Application to Networking Security;IEEE Access;2022