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The detection rate of network intrusion detection systems mainly depends on relevant features; however, the selection of attributes or features is considered an issue in NP-hard problems. It is an important step in machine learning and pattern recognition. The major aim of feature selection is to determine the feature subset from the current/existi...
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... all stars in the swarm are initialized with favourable positions, ensuring that the population starts the search process from a promising starting point. Moreover, the incorporation of the selection of good features aims to strategically guide the search effort and facilitate the convergence of the population towards the bestknown solution. Fig. 1 depicts the main flowchart of the proposed modification to the standard BHA. By combining the strengths of filter and wrapper approaches, our GBA algorithm significantly enhances the accuracy and detection rate of network intrusion detection systems. This strategic integration of feature assessment, initialization, and optimization ...
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