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- Data re-identification - Wikipedia
Information in the public domain, even seemingly anonymized, may thus be re-identified in combination with other pieces of available data and basic computer science techniques
- Reidentification of Anonymized Data: Risks and Legal Rules
Reidentification of Anonymized Data: Risks and Legal Rules Anonymized data isn't always as private as it seems Learn how re-identification works, what HIPAA and GDPR require, and what to do if your data is exposed
- How Easy Is It To Re-Identify Data and What Are The Implications?
Data re-identification is a process that reverses anonymisation efforts, linking supposedly anonymous data back to specific individuals This process often targets various types of sensitive information, including health records, financial data, and online behaviour patterns
- What is Re-identification Risk? - Statology
Re-identification is the process of linking anonymized or de-identified records back to specific individuals It typically works by combining the released dataset with external information, such as publicly available records, social media activity, or location data
- Reidentification - an overview | ScienceDirect Topics
Reidentification is the assignment of the public name associated with a data record to the deidentified record Reidentification is sometimes necessary to verify the contents of a record or to provide information that is necessary for the well-being of the subject of a deidentified data record
- Practical and ready-to-use methodology to assess the re . . . - Nature
To prove that a dataset is sufficiently anonymized, many privacy policies suggest that a re-identification risk assessment be performed, but do not provide a precise methodology for doing so,
- Re-identification: The Ultimate Guide to How Your Anonymous Data Can . . .
It's the digital-age process of taking data that was stripped of obvious identifiers and using other information sources to put the name back on the file, unmasking the individual It's the reason the promise of “anonymous data” is often more fragile than we think
- Understanding the Re-identification Risk in De-identified Health Data . . .
Even when direct identifiers are removed, there is a chance that people can be identified by matching de-identified data with other data sets This is called re-identification It can happen by joining indirect details in the data with public information like voter lists, social media, or commercial databases
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