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Preserving Privacy in Transparency Logging
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science. (PriSec)ORCID iD: 0000-0001-6459-8409
2015 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). Ex-post transparency provides information to users about how their personal data have been processed by service providers, and is a prerequisite for accountability: you cannot hold a controller accountable for what is unknown.

We present three generations of PETs for transparency logging to which we contributed. We start with early work that defined the setting as a foundation and build upon it to increase both the privacy protections and the utility of the data sent through transparency logging. Our contributions include the first provably secure privacy-preserving transparency logging scheme and a forward-secure append-only persistent authenticated data structure tailored to the transparency logging setting. Applications of our work range from notifications and deriving data disclosures for the Data Track tool (an ex-post TET) to secure evidence storage.

Abstract [en]

The subject of this dissertation is the construction of privacy-enhancing technologies (PETs) for transparency logging, a technology at the intersection of privacy, transparency, and accountability. Transparency logging facilitates the transportation of data from service providers to users of services and is therefore a key enabler for ex-post transparency-enhancing tools (TETs). Ex-post transparency provides information to users about how their personal data have been processed by service providers, and is a prerequisite for accountability: you cannot hold a controller accountable for what is unknown.

We present three generations of PETs for transparency logging to which we contributed. We start with early work that defined the setting as a foundation and build upon it to increase both the privacy protections and the utility of the data sent through transparency logging. Our contributions include the first provably secure privacy-preserving transparency logging scheme and a forward-secure append-only persistent authenticated data structure tailored to the transparency logging setting. Applications of our work range from notifications and deriving data disclosures for the Data Track tool (an ex-post TET) to secure evidence storage.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet , 2015. , 173 p.
Series
Karlstad University Studies, ISSN 1403-8099 ; 2015:28
Keyword [en]
Privacy-enhancing technologies, transparency-enhancing tools, transparency logging, authenticated data structures
National Category
Computer Science Computer Systems Information Systems Media Engineering
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-35918ISBN: 978-91-7063-644-8 (print)OAI: oai:DiVA.org:kau-35918DiVA: diva2:808057
Public defence
2015-06-10, 1B309, Sjöströmsalen, Karlstads universitet, Karlstad, 13:30 (English)
Opponent
Supervisors
Funder
EU, FP7, Seventh Framework ProgrammeKnowledge FoundationGoogle
Available from: 2015-05-20 Created: 2015-04-27 Last updated: 2015-05-20Bibliographically approved

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CiteExportLink to record
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