Semi-Naïve Bayesian Method for Network Intrusion Detection System

Author:

Panda Mrutyunjaya,Patra Manas Ranjan

Publisher

Springer Berlin Heidelberg

Cited by 14 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. A Simple and Robust Approach of Random Forest for Intrusion Detection System in Cyber Security;2022 International Conference on IoT and Blockchain Technology (ICIBT);2022-05-06

2. Selective AnDE based on attributes ranking by Maximin Conditional Mutual Information (MMCMI);Journal of Experimental & Theoretical Artificial Intelligence;2022-04-28

3. Network Intrusion Detection System using Supervised Learning based Voting Classifier;2022 International Conference on Communication, Computing and Internet of Things (IC3IoT);2022-03-10

4. An improved harmony search based extreme learning machine for intrusion detection system;Materials Today: Proceedings;2021-02

5. Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments;Journal of Network and Computer Applications;2020-07

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