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SFGAD

Travis PyPi

SFGAD is a tool for detecting anomalies in graph and graph streams with python.

I provides:

  • Efficient computation of graph features
  • Statistical models for detecting anomalous behavior
  • Graph scanning to detect connected graph anomalies
  • A customizable detection framework with 6 components
  • Several pre-defined configurations

Process

Process

Installation

Dependencies

  • Python: 3.5 or higher
  • NumPy: 1.8.2 or higher
  • SciPy: 0.13.3 or higher
  • Pandas: 0.22.0 or higher
  • NetworkX: 1.11.0 or higher

Installation

Installation of the latest release is available at the Python package index.

pip install sfgad

The source code is currently available on GitHub: https://github.com/sudrich/sf-gad

Testing

For testing use pytest from the source directory:

pytest sfgad

Usage

The framework defines an modular interface that allows full customization of the analysis process. For examples, see the tutorials on using a pre-defined analyzer and using a custom analyzer.

Acknowledgements

This work originated from the QuestMiner project (grant no. 01IS12051) and was partially funded by the German Federal Ministry of Education and Research (BMBF). The work was supported by the SDIL, which also maintains, this code base within the BMBF SDI-X Project (grant no. 01IS15035A)