Abstract: This work proposes a probabilistic feature estimation-based feature selection method for intrusion detection systems. The method aims to reduce the number of insignificant features from the ...
Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...
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