Enhancing network based intrusion detection for imbalanced data
Author:
Affiliation:
1. Software Systems Research Centre, Bournemouth University, Fern Barrow, Talbot Campus, Poole, BH12 5BB, UK
Publisher
IOS Press
Subject
Artificial Intelligence,Control and Systems Engineering,Software
Cited by 6 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. Research on Cyberspace Intrusion Detection Model for Wireless Agile Network Planning;Lecture Notes in Electrical Engineering;2024
2. An Imbalanced Data Classification Algorithm Based on Mixed Sampling;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08
3. Research on Imbalanced Data Ensemble Algorithm Based on Density Peaks Clustering and Fitness;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11
4. Assessments of Feature Selection Techniques with Respect to Data Sampling for Highly Imbalanced Software Measurement Data;International Journal of Reliability, Quality and Safety Engineering;2015-04
5. Improving Performance and Convergence Rates in Multi-Layer Feed Forward Neural Network Intrusion Detection Systems;International Journal of Strategic Information Technology and Applications;2014-07
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