To improve the ability of deep learning tools to deal with intrusion detection problems based on the open set, the KCC (Known Central Clustering) method is ...

The KCC method improves the classification accuracy of known intrusions and reduces the misclassification rate of unknown intrusions.

The proposed KCC (Known Central Clustering) method improves the classification accuracy of known intrusions and reduces the misclassification rate of ...

The model uses techniques of protocol analysis and data mining to construct features automatically. A new method with meta-learning is discussed, which divides ...

Jul 3, 2024 · Open-Set Recognition (OSR) [10] offers a realistic approach in a dynamic field like intrusion detection. This method equips models to manage ...

Oct 22, 2024 · For the first type of unknown attack, the unknown attack detection rate of the proposed method was approximately 10%–20% better than that of the ...

This study applied open-set recognition with dissimilarity weight (OSRDW) to effectively train the extreme value distribution and confirmed that the ...

May 17, 2024 · Tang, “KCC method: Unknown intrusion detection based on open set recognition,” in Proc. IEEE 33rd Int. Conf. Tools Artif. Intell. (ICTAI) ...

May 12, 2022 · This paper proposes a novel solution, which applies the open-set recognition method to the unknown traffic identification, and constructs a model based on deep ...

Sep 25, 2023 · The experimental results confirmed that the proposed method had better performance in detecting unknown attacks and could detect various attacks ...