The HybridPatronPseudonymizer
is a Python class that implements a hybrid encryption system that results with a deterministic ciphertext (the encrypted content) output for a given plaintext input. Hybrid encryption combines the benefits of both symmetric and asymmetric encryption.
Protecting the privacy of patrons is of utmost importance for institutions that handle sensitive data. In some cases, the responsibility of safeguarding this privacy is intesified by by law, regulations or even internal institutional policy. In this context, the provided Python module serves as a powerful tool that aims to strike a balance between ensuring patron data confidentiality and preserving its analytical utility.
Pseudonymization is a data protection technique where personally identifiable information (PII) fields within a data record are replaced with artificial identifiers or pseudonyms. This method prioritizes data subject privacy while also facilitating data anal