Review of KDD Cup 99, NSL-KDD and Kyoto 2006+ datasets

This paper presents a review of three datasets, namely KDD Cup 99, NSL-KDD and Kyoto 2006+ datasets, which are widely used in researching intrusion detection in computer networks. The KDD Cup 99 dataset consists of five million records, each containing 41 features which can classify malicious attacks into four classes: Probe, DoS, U2R and R2L. The KDD Cup 99 dataset cannot reflect real traffic data since it was generated by simulation over a virtual computer network. In the NSL-KDD dataset, redundant and duplicate records form the KDD Cup 99 dataset are removed from training and test sets, respectively. The Kyoto 2006+ dataset is built on real three year-network traffic data which are labeled as normal (no attack), attack (known attack) and unknown attack. The Kyoto 2006+ dataset contains 14 statistical features derived from the KDD Cup 99 dataset and 10 additional features.