Computer network face many security problems because various smart devices using computer networks are being developed and are rapidly spreading. Therefore, an Intrusion Detection System (IDS) is necessary for network security. There are two typical datasets for IDS: KDD CUP 99 (KDD’99) and NSL-KDD. In this paper, we introduced KDD’99 and NSL-KDD and analysis these datasets using an artificial neural network. KDD’99 shows a higher score for overall accuracy, but falls behind in its classification accuracy per category.
CITATION STYLE
Ji, H., Kim, D., Shin, D., & Shin, D. (2018). A study on comparison of KDD CUP 99 and NSL-KDD using artificial neural network. In Lecture Notes in Electrical Engineering (Vol. 474, pp. 452–457). Springer Verlag. https://doi.org/10.1007/978-981-10-7605-3_74
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