CICIDS2017 dataset: performance improvements and validation as a robust intrusion detection system testbed-Reference-Cited by-同舟云学术

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CICIDS2017 dataset: performance improvements and validation as a robust intrusion detection system testbed

Published:2021 Issue:1/2 Volume:16 Page:20
ISSN:1744-1765
Container-title:International Journal of Information and Computer Security
language:en
Short-container-title:IJICS

Author:

Boukhamla Akram,Gaviro Javier Coronel

Publisher

Inderscience Publishers

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software

Cited by 11 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. Attack detection model for BCoT based on contrastive variational autoencoder and metric learning;Journal of Cloud Computing;2024-08-02

2. Comparison of Multiple Feature Selection Techniques for Machine Learning-Based Detection of IoT Attacks;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

3. DDoShield-IoT: A Testbed for Simulating and Lightweight Detection of IoT Botnet DDoS Attacks;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W);2024-06-24

4. Open DGML: Intrusion Detection Based on Open-Domain Generation Meta-Learning;Applied Sciences;2024-06-22

5. The use of statistical features for low-rate denial-of-service attack detection;Annals of Telecommunications;2024-04-05

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