ByeongGil-Jung/GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data

Anomaly Detection for Dynamic Malware Data using GRU-Autoencoder Model

GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data

Pattern-Recognition Class, 1st Semester, 2021

Description

GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data
(for Pattern-Recognition Class (1st Semester, 2021))

How to run

First, install dependencies

# Clone project   
git clone https://github.com/ByeongGil-Jung/GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data.git

# Install project   
cd GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data
pip install -r requirements.txt

Next, navigate to any file and run it.

# Run module   
python model_v3_main.py    

Citation

@article{Byeonggil Jung,
  title={GRU-Autoencoder-Anomaly-Detection-for-Dynamic-Malware-Data},
  author={Byeonggil Jung},
  year={2021}
}