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Supervised learning has been widely used for attack categorization, requiring high-quality data and labels.
H. Robbins and S. Monro, “A stochastic approximation method,” The annals of mathematical statistics
1951
Earlier work this paper cites.
D. E. Denning, “An intrusion-detection model,” IEEE Transactions on software engineering
1987
Earlier work this paper cites.
S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural computation
1997
Earlier work this paper cites.
M. Roesch et al
1999
Earlier work this paper cites.
S. Hettich, “Kdd cup 1999 data,” The UCI KDD Archive
1999
Earlier work this paper cites.
K. Krishna and M. N. Murty, “Genetic k-means algorithm,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
1999
Earlier work this paper cites.
D. Comaniciu and P. Meer, “Mean shift: A robust approach toward feature space analysis,” IEEE Transactions on pattern analysis and machine intelligence
2002
Earlier work this paper cites.
A. Liaw, M. Wiener, et al
2002
Earlier work this paper cites.
Z.-H. Zhou and M. Li, “Tri-training: Exploiting unlabeled data using three classifiers,” IEEE Transactions on knowledge and Data Engineering
2005
Earlier work this paper cites.
P.-H. Chen, C.-J. Lin, et al
2005
Earlier work this paper cites.
T.-Y. Liu, “Easyensemble and feature selection for imbalance data sets,” in 2009 international joint conference on bioinformatics, systems biology and intelligent computing
2009
Earlier work this paper cites.
M. Tavallaee, E. Bagheri, et al
2009
Earlier work this paper cites.
2014
Earlier work this paper cites.
S. O. Al-mamory and F. S. Jassim, “On the designing of two grains levels network intrusion detection system,” Karbala International Journal of Modern Science
2015
Earlier work this paper cites.
R. Zuech et al
2015
Earlier work this paper cites.
Y. Shan, T. R. Hoens, et al
2016
Earlier work this paper cites.
N. Papernot, P. McDaniel, et al
2016
Earlier work this paper cites.
P. Mishra et al
2018
Earlier work this paper cites.
Y. Mirsky, T. Doitshman, et al
2018
Cited alongside, same era.
I. Sharafaldin et al
2018
Cited alongside, same era.
H. L. Duarte-Garcia et al
2019
Cited alongside, same era.
D. Berthelot, N. Carlini, et al
2019
Cited alongside, same era.
X. Zhai, A. Oliver, et al
2019
Cited alongside, same era.
M. Bachl, A. Hartl, et al
2019
Cited alongside, same era.
A. Aldweesh et al
2020
J. Liang, W. Guo, et al
2021
Later among the works it cites.
A. F. Diallo and P. Patras, “Adaptive clustering-based malicious traffic classification at the network edge,” in IEEE INFOCOM 2021-IEEE Conference on Computer Communications
2021
Later among the works it cites.
Y. Liu et al
2021
Later among the works it cites.
X. Lai, Z. Tian, et al
2021
Later among the works it cites.
X. Chen, Y. Yuan, et al
2021
Later among the works it cites.
D. Han et al
2021
Later among the works it cites.
J. Yang, X. Chen, et al
2021
Later among the works it cites.
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Cited alongside, same era.
C. A. de Souza, C. B. Westphall, et al
2020
Cited alongside, same era.
J. E. Van Engelen and H. H. Hoos, “A survey on semi-supervised learning,” Machine Learning
2020
Cited alongside, same era.
C. Xu, J. Shen, and X. Du, “A method of few-shot network intrusion detection based on meta-learning framework,” IEEE Transactions on Information Forensics and Security
2020
Cited alongside, same era.
E. K. Viegas, A. O. Santin, et al
2020
Cited alongside, same era.
H. Zhang et al
2020
Cited alongside, same era.
Z. Peng, W. Huang, et al
2021
Later among the works it cites.
2021
Later among the works it cites.
J. Holland, P. Schmitt, et al
2021
Later among the works it cites.
X. Xiao, W. Xiao, et al
2021
Later among the works it cites.
D. S. Keyes et al
2021
Later among the works it cites.
Z. Peng, W. Huang, et al
2021
Later among the works it cites.
2021
Later among the works it cites.
D. Han, Z. Wang, Y. Zhong, W. Chen, J. Yang, S. Lu, X. Shi, and X. Yin, “Evaluating and improving adversarial robustness of machine learning-based network intrusion detectors,” IEEE Journal on Selected Areas in Communications
2021
Later among the works it cites.
2022
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