Feature Ranking using Statistical Techniques for Computer Networks Intrusion Detection
Author:
Affiliation:
1. Delhi Technological University,Department of Applied Mathematics,Delhi,India,110042
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9835710/9835716/09835831.pdf?arnumber=9835831
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. Extraction of Minimal Set of Traffic Features Using Ensemble of Classifiers and Rank Aggregation for Network Intrusion Detection Systems;Applied Sciences;2024-08-09
2. Feature Ranking and Selection for Intrusion Detection System Using Mathematical Measures;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21
3. Current trends in AI and ML for cybersecurity: A state-of-the-art survey;Cogent Engineering;2023-10-25
4. Smartphone Malware Detection using Permissions and McNemar test;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14
5. Intrusion detection based on machine learning and statistical feature ranking techniques;2023 13th International Conference on Cloud Computing, Data Science & Engineering (Confluence);2023-01-19
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