markushaug/acr-25

Research on machine learning, deep learning, and ensemble methods in imbalanced fraud and anomaly detection scenarios.

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications

Code for submitted paper for the 2025 International Conference on Advances in Computing Research (ACR’25) which will take place in Nice, France, July 7-9, 2025.

• Markus Haug*, Gissel Velarde
• IU International University of Applied Science, Erfurt, 99084, Germany
• markus.haug@iu-study.org, gissel.velarde@iu.org

Instructions

1. Clone the repository
2. Create a new virtual environment

python3 -m venv venv
source venv/bin/activate

3. Install the dependencies

pip install -r requirements.txt

4. Open the Jupyter notebooks