Data Processing and Model Selection for Machine Learning-based Network Intrusion Detection-Reference-Cited by-同舟云学术

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Data Processing and Model Selection for Machine Learning-based Network Intrusion Detection

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR)
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Author:

Sahu Abhijeet,Mao Zeyu,Davis Katherine,Goulart Ana E.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9097792/9101178/09101394.pdf?arnumber=9101394

Cited by 21 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. The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review;npj Digital Medicine;2024-08-03

2. Machine Learning Classification for Intrusion Detection Systems Using the NSL-KDD Dataset;2024 IEEE International Conference on Cybernetics and Innovations (ICCI);2024-03-29

3. Performance Comparison and Analysis of Machine Learning and Deep Learning Models for Network Intrusion Detection In IoT-Edge Frameworks;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. The Impact of Data Scaling Approaches on Deep Learning, Random Forest and Nearest Neighbour-Based Network Intrusion Detection Systems for DoS Detection in IoT Networks;Communications in Computer and Information Science;2024

5. Classification of Bruteforce Attacks Using Convolution Neural Network;Proceedings of International Conference on Network Security and Blockchain Technology;2023-11-29

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