KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research

Many consider the KDD Cup 99 data sets to be outdated and inadequate. Therefore, the extensive use of these data sets in recent studies to evaluate network intrusion detection systems is a matter of concern. We contribute to the literature by addressing these concerns.

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Published in:Computer (Long Beach, Calif.) Calif.), 2019-02, Vol.52 (2), p.41-51
Main Authors: Siddique, Kamran, Akhtar, Zahid, Aslam Khan, Farrukh, Kim, Yangwoo
Format: Article
Language:English
Subjects:
Cybersecurity
Data mining
Datasets
Feature extraction
Intrusion detection
Intrusion detection systems
Machine learning
Principal component analysis
Support vector machines
Training data
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description Many consider the KDD Cup 99 data sets to be outdated and inadequate. Therefore, the extensive use of these data sets in recent studies to evaluate network intrusion detection systems is a matter of concern. We contribute to the literature by addressing these concerns.
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source IEEE Electronic Library (IEL) Journals
subjects Cybersecurity
Data mining
Datasets
Feature extraction
Intrusion detection
Intrusion detection systems
Machine learning
Principal component analysis
Support vector machines
Training data
title KDD Cup 99 Data Sets: A Perspective on the Role of Data Sets in Network Intrusion Detection Research
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