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Unaware (Digital Academic Repository)Measuring and predicting anonymity Foot, M.R. Link to publicationCitation for published version (APA): Foot, M. R. (2012). Measuring and predicting anonymity.
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Measuring and predicting anonymity is the act of assessing the level of anonymity provided by a system or service, as well as forecasting potential anonymity breaches.
Any organization or individual that handles sensitive data and values privacy is encouraged to conduct and file measuring and predicting anonymity reports.
Measuring and predicting anonymity reports can be filled out by gathering data on current anonymity levels, analyzing potential threats, and outlining strategies to maintain or improve anonymity.
The purpose of measuring and predicting anonymity is to proactively identify and mitigate risks to individual privacy and data security.
Information such as current anonymity levels, potential threats, risk mitigation strategies, and action plans must be reported on measuring and predicting anonymity.
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