A hybrid classification model in improving the classification quality of network intrusion detection systems

Ngọc, Thanh Hoàng (2025) A hybrid classification model in improving the classification quality of network intrusion detection systems. EAI Endorsed Transactions on Contex-aware Systems and Applications.

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Abstract

Stream-based anomaly detection is an issue that continues to be researched in the cybersecurity environment. Much previous research has applied machine learning as a method to improve anomaly detection in network intrusion detection systems. Recent research shows that network intrusion detection sys

Item Type: Article
Date Deposited: 04 Mar 2026 20:12
Last Modified: 10 Apr 2026 18:25
URI: http://eprints.eai.eu/id/eprint/59757

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