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: International Journal on Smart Sensing and Intelligent Systems
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 International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.