- Cukurova University Journal of Natural and Applied Sciences
- Cilt: 2 Sayı: 3
- Anomaly Detection In Network Traffic Using Machine Learning
Anomaly Detection In Network Traffic Using Machine Learning
Authors : Roaa Mohammed, Fatih Akay
Pages : 5-12
View : 52 | Download : 74
Publication Date : 2023-12-31
Article Type : Research
Abstract :The primary theme of this paper revolves around the detection of anomalies and measurement of device health, using a Key Performance Indicator (KPI) dataset spanning twenty-one days. The study aims to improve the accuracy of models through the utilization of machine learning (ML) methods. The accuracy of each model was measured using a confusion matrix, and the results indicate that deep learning methods outperform classification methods across all models. Overall, this study provides valuable insights into the use of ML methods for improving the accuracy of anomaly detection and device health measurement in KPI datasets, with potential applications in various fields.Keywords : Anomaly detection, Machine learning (ML), Key Performance Indicator (KPI)