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Data for: Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier

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Mendeley Data2020-04-28 更新2026-04-09 收录
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This dataset contains the preprocessed subsets of the original NSL-KDD, AWID, and CIC-IDS2017 datasets. First, we selected the subset from the original sets , and the stastic information can bee seen in our paper "Building An Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier". Then, we utilized our proposed CFS-BA algorithm to select different features and constructed the different .csv files.

本数据集包含原始NSL-KDD、AWID及CIC-IDS2017数据集的预处理子集。首先,我们从上述原始数据集中筛选得到对应子集,其统计信息可参见论文《基于特征选择与集成分类器的高效入侵检测系统构建》("Building An Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier")。随后,我们采用本文提出的CFS-BA算法完成特征选择,并生成了多组不同的.csv格式文件。

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2020-04-28
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