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Does additional information always reduce anonymity?

(2007) Does additional information always reduce anonymity? WPES'07 - Proceedings of the 2007 ACM Workshop on Privacy in Electronic Society pp. 72-75. 10.1145/1314333.1314347.

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Abstract

We discuss information-theoretic anonymity metrics, that use entropy over the distribution of all possible recipients to quantify anonymity. We identify a common misconception: the entropy of the distribution describing the potentialreceivers does not always decrease given more information.We show the relation of these a-posteriori distributions with the Shannon conditional entropy, which is an average overall possible observations. © 2007 ACM.

Type: Article
Title: Does additional information always reduce anonymity?
DOI: 10.1145/1314333.1314347
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/1409378
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