An Abstract View on the De-anonymization Process
arXiv:1902.09897v11 citations
Originality Synthesis-oriented
AI Analysis
This is an incremental work that organizes existing knowledge on de-anonymization for researchers and practitioners concerned with data privacy.
The paper tackles the problem of privacy breaches in anonymized datasets by providing a taxonomy of de-anonymization research, but it does not present new results or concrete numbers.
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.