A machine learning-based normalized fuzzy subset linked model in networks for intrusion detection-Reference-Cited by-同舟云学术

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A machine learning-based normalized fuzzy subset linked model in networks for intrusion detection

Published:2023-05-03 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Madhuri Simhadri,Lakshmi S. Venkata

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08160-6.pdf

Reference34 articles.

1. Abbasi Z, Rahmani M (2019) An instance selection algorithm based on ReliefF. Int J Artif Intell Tools 28:14

2. Adem K, Kılıçarslan S, Comert O (2019) Classification and diagnosis of cervical cancer with softmaxclassification with stacked autoencoder. Expert Syst Appl 115:557–564

3. Ali MH, Al Mohammed BAD, Ismail A, Zolkipli MF (2018) A new intrusion detection system based on fast learning network and particle swarm optimization. IEEE Access 6:20255–20261. https://doi.org/10.1109/access.2018.2820092

4. Al-Yaseen WL, Othman ZA, Nazri MZA (2017) Multi-level hybrid support vector machine and extremelearning machine based on modified K-means for intrusion detection system. Expert Syst Appl 67:296–303

5. Atefinia R, Ahmadi M (2020) Network intrusion detection using multi-architectural modular deep neural network. J Supercomput. https://doi.org/10.1007/s11227-020-03410-y

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1. Research on Network Intrusion Detection Based on Cluster Learning Algorithm;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

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