Intrusion detection of manifold regularized broad learning system based on LU decomposition
Author:
Funder
Yaodi Liu
Zhendong Wang
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05403-z.pdf
Reference52 articles.
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2. Rafath S, Vasumathi D (2017) Review on anomaly based network intrusion detection system. In: 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT 2017), 15–16 Dec, 2017, Mysuru, India, IEEE: 141–147. https://doi.org/10.1109/ICEECCOT.2017.8284655
3. Kim H, Hong H, Kim H-S, Kang S (2009) A memory-efficient parallel string matching for intrusion detection systems. IEEE Commun Lett 13(12):1004–1006. https://doi.org/10.1109/LCOMM.2009.12.082230
4. Ilgun K, Kemmerer RA, Porras PA (1995) State transition analysis: a rule-based intrusion detection approach. IEEE Trans Softw Eng 21(3):181–199. https://doi.org/10.1109/32.372146
5. Teng SH, Wu NQ, Zhu HB, Teng LY, Zhang W (2018) SVM-DT-based adaptive and collaborative intrusion detection. IEEE/CAA J Autom Sin 5(1):108–118. https://doi.org/10.1109/JAS.2017.7510730
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