Two Stratum Bayesian Network Based Anomaly Detection Model for Intrusion Detection System
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4606003/4606004/04606112.pdf?arnumber=4606112
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. Analysis of accuracy in anomaly detection rate for intrusion detection system using K-neighbors compared over Gaussian model;INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings;2023
2. Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2022-06
3. Contextual information fusion for intrusion detection: a survey and taxonomy;Knowledge and Information Systems;2017-02-17
4. Bayesian Model Averaging of Bayesian Network Classifiers for Intrusion Detection;2014 IEEE 38th International Computer Software and Applications Conference Workshops;2014-07
5. An intrusion detection and alert correlation approach based on revising probabilistic classifiers using expert knowledge;Applied Intelligence;2012-09-15
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