A Holistic review and performance evaluation of unsupervised learning methods for network anomaly detection
Authors
Niharika Sharma
Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India
Bhavna Arora
Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India
Shabana Ziyad
Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
Pradeep Kumar Singh
Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India
Yashwant Singh
Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India
DOI: https://doi.org/10.2478/ijssis-2024-0016 | Journal eISSN: 1178-5608
Language: English
Submitted on: Nov 24, 2023
Published on: May 19, 2024
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2024 Niharika Sharma, Bhavna Arora, Shabana Ziyad, Pradeep Kumar Singh, Yashwant Singh, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.