Tests on the NSL-KDD dataset empirically prove that our proposed method can reduce the number of features with almost 60% and obtains good results in terms of ...
(PDF) Intelligent feature selection method rooted in Binary Bat ...
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The results evince that detection rate, accuracy and precision of the system is increased by incorporating feature selection approach with heterogeneous ...
The paper presents a novel hybrid feature selection approach combining the Bat metaheuristic algorithm with the Residue Number System (RNS).
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Jun 8, 2023 · This article introduces a Binary Bat Algorithm-based Feature Selection with Deep Reinforcement Learning (BBAFS-DRL) system for IDSs. The major ...
Intelligent feature selection method rooted in Binary Bat Algorithm for intrusion detection. Conference Paper. Full-text available. May 2015.
The proposed HBA-SVM IDS combines a hybrid Bat meta-heuristic Algorithm with a support vector machine (SVM) classifier for simultaneous feature and optimal ...
Jun 15, 2020 · In this paper, a wrapper feature selection algorithm for IDS is proposed. This algorithm uses the pigeon inspired optimizer to utilize the selection process.
The Binary Bat algorithm with Lévy flight performs the feature selection while the Bat algorithm performs parameter optimization on the SVM for each feature ...
The main contribution of our paper is the novel feature selection model based on Binary Bat Algorithm with Lévy flights. To test our model we use the NSL-KDD ...
Sep 21, 2022 · In order to address BA's feature selection concerns, the suggested method combines three techniques: the population diversity boosting method, ...