Measuring the value of privacy and the efficacy of PETs

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Privacy is a very active subject of research and also of debate in the political circles. In order to make good decisions about privacy, we need measurement systems for privacy. Most of the traditional measures such as k-anonymity lack expressiveness in many cases. We present a privacy measuring framework, which can be used to measure the value of privacy to an individual and also to evaluate the efficacy of privacy enhancing technologies. Our method is centered on a subject, whose privacy can be measured through the amount and value of information learned about the subject by some observers. This gives rise to interesting probabilistic models for the value of privacy and measures for privacy enhancing technologies.
Original languageEnglish
Title of host publicationCompanion Proceedings - 11th European Conference on Software Architecture, ECSA 2017
PublisherAssociation for Computing Machinery ACM
Pages132-137
Number of pages6
VolumePart F130530
ISBN (Electronic)9781450352178
ISBN (Print)978-1-4503-5217-8
DOIs
Publication statusPublished - 11 Sep 2017
MoE publication typeA4 Article in a conference publication
Event11th European Conference on Software Architecture, ECSA 2017 - Canterbury, United Kingdom
Duration: 11 Sep 201715 Sep 2017

Conference

Conference11th European Conference on Software Architecture, ECSA 2017
Abbreviated titleECSA 2017
CountryUnited Kingdom
CityCanterbury
Period11/09/1715/09/17

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Statistical Models

Keywords

  • Measurement
  • Metric
  • Privacy
  • Probability
  • Value

Cite this

Halunen, K., & Karinsalo, A. (2017). Measuring the value of privacy and the efficacy of PETs. In Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017 (Vol. Part F130530, pp. 132-137). Association for Computing Machinery ACM. https://doi.org/10.1145/3129790.3129806
Halunen, Kimmo ; Karinsalo, Anni. / Measuring the value of privacy and the efficacy of PETs. Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017. Vol. Part F130530 Association for Computing Machinery ACM, 2017. pp. 132-137
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Halunen, K & Karinsalo, A 2017, Measuring the value of privacy and the efficacy of PETs. in Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017. vol. Part F130530, Association for Computing Machinery ACM, pp. 132-137, 11th European Conference on Software Architecture, ECSA 2017, Canterbury, United Kingdom, 11/09/17. https://doi.org/10.1145/3129790.3129806

Measuring the value of privacy and the efficacy of PETs. / Halunen, Kimmo; Karinsalo, Anni.

Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017. Vol. Part F130530 Association for Computing Machinery ACM, 2017. p. 132-137.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Halunen K, Karinsalo A. Measuring the value of privacy and the efficacy of PETs. In Companion Proceedings - 11th European Conference on Software Architecture, ECSA 2017. Vol. Part F130530. Association for Computing Machinery ACM. 2017. p. 132-137 https://doi.org/10.1145/3129790.3129806