This paper proposes a new approach to build lightweight Intrusion Detection System (IDS) based on Random Forest (RF). RF is a special kind of ensemble ...
This paper proposes a new approach to build lightweight Intrusion Detection System (IDS) based on Random Forest (RF). RF is a special kind of ensemble ...
This paper proposes a new approach to build lightweight Intrusion Detection System (IDS) based on Random Forest (RF), which is able not only to show high ...
This paper proposes a new approach to build lightweight Intrusion. Detection System (IDS) based on Random Forest (RF). RF is a special kind of ensemble learning ...
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This paper proposes an effective deep learning method, namely AE-IDS (Auto-Encoder Intrusion Detection System) based on random forest algorithm.
Nov 21, 2024 · DAREnsemble is formulated by combining the advantages of rule learners and decision trees. The performance of the proposed ensemble based ...
Missing: Lightweight | Show results with:Lightweight
Jun 21, 2024 · This paper introduces a novel intrusion detection technique that diverges from traditional methods by leveraging Recurrent Neural Networks (RNNs)
Oct 22, 2024 · This paper proposes an effective deep learning method, namely AE-IDS (Auto-Encoder Intrusion Detection System) based on random forest algorithm.
Furthermore, we employ four machine learning methods, namely C4.5, Naïve Bayes (NB), Random Forest (RF) and REPTree, as wrappers. Results show good detection ...
Their experimental results show their approach is faster and more lightweight than the previous approaches. S. A. Mulay et al. [12] proposed the decision tree ...