A Hybrid Intelligent Approach for Automated Alert Clustering and Filtering in Intrusion Alert Analysis
Author:
Publisher
IACSIT Press
Link
http://www.ijcte.org/papers/87-G201-545.pdf
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. A Survey of Novel Framework of Anomaly-Based Intrusion Detection Systems in Computer Networks Using Ensemble Feature Integration with Deep Learning Techniques;Proceedings of the 2024 16th International Conference on Machine Learning and Computing;2024-02-02
2. Network Intrusion Detection Based on Federated Learning with Inherited Private Models;Proceedings of the 2023 5th International Conference on Video, Signal and Image Processing;2023-11-24
3. A Lightweight Hybrid Framework for Real-Time Detection of Process Related Anomalies in Industrial Time Series Data Generated by Online Industrial IoT Sensors;2023 15th International Conference on Computer and Automation Engineering (ICCAE);2023-03-03
4. Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey;Sensors;2022-02-15
5. E-correlator: an entropy-based alert correlation system;Security and Communication Networks;2014-07-19
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