linkageattackit
Linkageattackit is a software toolkit designed to study and quantify linkage attacks on anonymized data. It provides a framework for simulating how external information can be combined with supposedly de-identified data to re-identify individuals, enabling researchers and data custodians to assess re-identification risk and validate privacy protections.
The project originated in privacy research communities as part of reproducible evaluation of anonymization techniques. It
Key features include a data generator for creating synthetic or semi-synthetic datasets, an attacker simulator that
The architecture is modular: core services expose a Python API and a command-line interface; components communicate
Usage and impact: researchers use linkageattackit to stress-test data release methods, compare protection techniques, and reproduce
Ethics and safety: the project emphasizes responsible use, with licenses and guidelines that discourage misuse. It