Deanonymization
Deanonymisation (also de-anonymization and re-identification ) is the targeted repeal previously performed anonymization of data. Mostly it is about the assignment of anonymized personal or company data . The combination of available data is used to determine that this applies only to one unit or with a high degree of probability. De-anonymizing persons or organizations are also called data attackers .
Social relevance
In the course of the New Social Movements , the censuses in 1983 and 1987 were also criticized because of the risk of de-anonymization (see census judgment ). A more recent problem is the deanonymization in social networks on the Internet . We are talking about transparent people .
De-anonymization is also possible when researching genetic data.
A new research was also able to show that de-anonymization is also possible in court judgments.
See also
literature
- Martin Rosemann, Daniel Vorgrimler, Rainer Lenz: First results of factual anonymization of individual economic statistics . In: General Statistical Archive , Issue 88, Number 1 / February 2004, pp. 73–99, doi: 10.1007 / s101820400160 . Physica Verlag, An Imprint of Springer-Verlag. ISSN 0002-6018 (print), ISSN 1614-0176 (online).
Web links
Individual evidence
- ^ R. Wiegert: Matching procedure and the re-identification of factually anonymous individual data . In: Anonymization of individual economic statistics , pp. 60–68. In: Federal Statistical Office (Ed.): Series of publications Forum der Bundesstatistik, Vol. 42, 2003.
- ↑ Federal Agency for Civic Education: 30 years ago: Protest against census
- ↑ Ulrich Greveler, Dennis Löhr: D eanonymization of profiles of social networks using metadata from images . DACH Security, 2010, p. 8.
- ↑ Kerstin Noëlle Vokinger / Urs Jakob Mühlematter: Re-identification of court judgments through "linkage" of data (databases) . Ed .: Jusletter. 2nd September 2019.
- ↑ Simon Chandler: Researchers Use Big Data And AI To Remove Legal Confidentiality. Forbes, accessed December 7, 2019 .