Open Access

ARTICLE

Performance Anomaly Detection in Web Services: An RNN- Based Approach Using Dynamic Quality of Service Features

Muhammad Hasnain¹, Seung Ryul Jeong^{2, *}, Muhammad Fermi Pasha³, Imran Ghani⁴

1 School of Information Technology, Monash University, Subang Jaya, 47500, Malaysia.
2 Graduate School of Business IT, Kookmin University, Seoul, Korea.
3 School of Information Technology, Monash University, Subang Jaya, 47500, Malaysia.
4 Department of Mathematical and Computer Sciences, Indiana University of Pennsylvania, Indiana, USA.

* Corresponding Author: Seung Ryul Jeong. Email: .