Intrusion detection of manifold regularized broad learning system based on LU decomposition-Reference-Cited by-同舟云学术

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Intrusion detection of manifold regularized broad learning system based on LU decomposition

Published:2023-06-16 Issue:18 Volume:79 Page:20600-20648
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Liu Yaodi,Zhang Kun,Wang Zhendong

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.

1. Lion NT, Marc F, Amel M (2019) Intrusion detection systems: a cross-domain overview. IEEE Commun Surv Tutor 21(4):3639–3681. https://doi.org/10.1109/COMST.2019.2922584

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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1. Hierarchical multistep approach for intrusion detection and identification in IoT and Fog computing-based environments;Ad Hoc Networks;2024-08

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