A Study on NSL-KDD Dataset for Intrusion Detection System Based on Classification Algorithms

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Network Intrusion Detection Combined Hybrid Sampling With Deep Hierarchical Network (2020, methodology): “In the field of intrusion detection, KDD CUP99 and NSL-KDD are famous data sets [34], and analysis by Revathi shows that NSL-KDD data sets are very suitable for comparing different intrusion detection models [35].”
An Adaptive Ensemble Machine Learning Model for Intrusion Detection (2019, methodology): “RELATED WORK In the field of intrusion detection, many scholars have tried machine learning algorithms and used public NSL-KDD data set for research in order to improve the detection effect [9].”
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset (2020, background): “These features include basic features (1-10), content features (11-22) and traffic features (23-41) [50].”