Performance evaluation of machine learning algorithms for network anomaly detection: an approach through the AHP-TOPSIS-2N method

Gabrielle Barbosa do Nascimento, Marcos dos Santos. Performance evaluation of machine learning algorithms for network anomaly detection: an approach through the AHP-TOPSIS-2N method. In Yong Shi 0001, Jianping Li 0001, Gang Kou, Daniel Berg, James M. Tien, editors, Proceedings of the 9th International Conference on Information Technology and Quantitative Management, ITQM 2022, Global Green Digital Economy: Challenges and Development, December 9-11, 2022, Beijing, China. Volume 214 of Procedia Computer Science, pages 164-171, Elsevier, 2022. [doi]

Abstract

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