A Holistic review and performance evaluation of unsupervised learning methods for network anomaly detection

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Open Access

|May 2024

Authors

Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India

Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India

Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India

Department of Computer Science and Information Technology, Central University of Jammu, Jammu (Jammu & Kashmir), India

Language: English

Submitted on: Nov 24, 2023

Published on: May 19, 2024

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

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© 2024 Niharika Sharma, Bhavna Arora, Shabana Ziyad, Pradeep Kumar Singh, Yashwant Singh, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.