The proposed system makes use of a heuristic technique which filters the attributes using Information gain, Gain ratio and Correlation that is employed to sight ...
2014 [2] proposed a system for distinguishing DoS assaults using Principal Component. Analysis to lessen the features to 14 in an NSL-KDD dataset. The outcome ...
The proposed system makes use of a heuristic technique which filters the attributes using Information gain, Gain ratio and Correlation that is employed to ...
The detection of DDoS attacks relies on the effectiveness of the feature selection from the attack dataset and the deployment of a classification algorithm that ...
The analysis of feature selection methods provides relevant and noisy feature subsets based on the score obtained by each method, which achieves higher ...
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Nov 21, 2024 · This paper focuses on analyzing different feature selection methods for feature selection in the detection of DoS attacks. The analysis of ...
Mar 27, 2024 · This study aims to present a systematic review of feature selection techniques and evaluate the effectiveness of attribute selection with a.
In this paper, to detect DDoS attacks, features have been selected from the UNSW-NB 15 dataset by using Information Gain and Data Reduction method. To classify ...
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It proposes an innovative feature selection (FS) method to filter out the most representative and distinguishing features from network traffic data to improve ...