Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study

1 code implementation • 30 Jan 2024 • Adrian Pekar, Richard Jozsa

In this study, we address the prevalent issue of data integrity in network traffic datasets, which are instrumental in developing machine learning (ML) models for anomaly detection.

Anomaly Detection Multi-class Classification