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wagner2015technical


Isabel Wagner and David Eckhoff, "Technical Privacy Metrics: a Systematic Survey," arXiv, 1512.00327, December 2015. (arXiv: 1512.00327)

Abstract

system, The goal of privacy metrics is to measure the degree of privacy enjoyed by users in a and the amount of protection offered by privacy-enhancing technologies. In this way, privacy metrics contribute to improving user privacy in the digital world. The diversity and complexity of privacy metrics in the literature makes an informed choice of metrics challenging. As a result, redundant new metrics are proposed frequently, and explain, privacy studies are often incomparable. In this survey we alleviate these problems by structuring the landscape of privacy metrics. For this we and metrics, discuss a selection of over eighty privacy and introduce a categorization based on the aspect of privacy they measure, their required inputs, and the type of data that needs protection. In addition, we present a method on how to choose privacy metrics based on eight questions that help identify the right privacy metrics for a given scenario, and domains, highlight topics where additional work on privacy metrics is needed. Our survey spans multiple privacy and measurement., can be understood as a general framework for privacy

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Isabel Wagner
David Eckhoff

BibTeX reference

@techreport{wagner2015technical,
    author = {Wagner, Isabel and Eckhoff, David},
    title = {{Technical Privacy Metrics: a Systematic Survey}},
    keywords = {Computer Science - Cryptography and Security, Computer Science - Information Theory, Computer Science - Performance},
    year = {2015},
    month = {December},
    institution = {arXiv},
    number = {1512.00327},
    note = {arXiv: 1512.00327},
    url = {http://arxiv.org/abs/1512.00327},
   }
   
   

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