Classification Trees with Logistic Regression Functions for Network Based Intrusion Detection System
Author:
Publisher
IOSR Journals
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by 7 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. FLBC-IDS: a federated learning and blockchain-based intrusion detection system for secure IoT environments;Multimedia Tools and Applications;2024-07-03
2. Predict attacker behaviour with high accuracy on honeypots using k-neighbor algorithm comparing with logistic regression algorithm;AIP Conference Proceedings;2023
3. An empirical intrusion detection system based on XGBoost and bidirectional long‐short term model for 5G and other telecommunication technologies;Computational Intelligence;2022-01-23
4. Analysis of UNSW-NB15 Datasets Using Machine Learning Algorithms;Digital Technologies and Applications;2022
5. Evaluation of Machine Learning Algorithms using Feature Selection Methods for Network Intrusion Detection Systems;2021 5th International Conference on Electrical Information and Communication Technology (EICT);2021-12-17
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