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- W2099940443 abstract "During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks, and KDDCUP'99 is the mostly widely used data set for the evaluation of these systems. Having conducted a statistical analysis on this data set, we found two important issues which highly affects the performance of evaluated systems, and results in a very poor evaluation of anomaly detection approaches. To solve these issues, we have proposed a new data set, NSL-KDD, which consists of selected records of the complete KDD data set and does not suffer from any of mentioned shortcomings." @default.
- W2099940443 created "2016-06-24" @default.
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- W2099940443 date "2009-07-01" @default.
- W2099940443 modified "2023-10-16" @default.
- W2099940443 title "A detailed analysis of the KDD CUP 99 data set" @default.
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- W2099940443 doi "https://doi.org/10.1109/cisda.2009.5356528" @default.
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