# An Abstract View on the De-anonymization Process

## TL;DR

This paper provides a comprehensive taxonomy of de-anonymization research, highlighting the vulnerabilities of anonymized datasets and the privacy risks involved.

## Contribution

It offers a structured classification of de-anonymization techniques, clarifying the landscape of privacy breaches in anonymized datasets.

## Key findings

- Datasets are vulnerable to privacy breaches through de-anonymization.
- A taxonomy of de-anonymization methods is proposed.
- Research highlights the importance of robust anonymization techniques.

## Abstract

Over the recent years, the availability of datasets containing personal, but anonymized information has been continuously increasing. Extensive research has revealed that such datasets are vulnerable to privacy breaches: being able to reveal sensitive information about individuals through deanonymization methods. Here, we provide a taxonomy of the research in de-anonymization.