A new data mining based network Intrusion Detection model
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5616735/5640373/05640375.pdf?arnumber=5640375
Cited by 23 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. Heterogeneous Ensemble Approach in Intrusion Detection using Stacking Technique;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08
2. Deep learning trends and future perspectives of web security and vulnerabilities;Journal of High Speed Networks;2024-01-10
3. Fusion of Chi-Square and Z-Test Statistics for Feature Selection with Machine Learning Techniques in Intrusion Detection;Communications in Computer and Information Science;2024
4. Analysis of Data Mining Techniques on KDD-Cup'99, NSL-KDD and UNSW-NB15 Datasets for Intrusion Detection;2023 24th International Arab Conference on Information Technology (ACIT);2023-12-06
5. Machine learning and blockchain technologies for cybersecurity in connected vehicles;WIREs Data Mining and Knowledge Discovery;2023-09-19
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