The goal of this project is to provide a working framework to show how causal modeling can be used to assist in determining cybersecurity.
This project builds off the previous paper by Dr. Suchitra Abel: Causal Modeling for Cybersecurity We are looking at a generalized case of data breaches and testing out a working causal model using
We are using DoWhy, Microsoft's Python library for Causal Inferences, for this project.
The dataset we used to gather information about data breaches is provided by the Veris Community Database (VCDB)
The graph causal model is provided below:
**Causal Modeling Analysis Techniques Used:
- Linear Regression Estimator
- Propensity Score Stratification Estimator
- Propensity Score Matching Estimator
The project can be viewed by running vcdb_parse.ipynb.