Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Privacy-Enhancing Technologies
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.ORCID iD: 0000-0002-6938-4466
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science.
2013 (English)In: Computer and Information Security Handbook, Elsevier, 2013, 2, p. 755-772Chapter in book (Other academic)
Resource type
Text
Abstract [en]

In our modern information age, recent technical developments and trends, such as mobile and pervasive computing, cloud computing, and Web 2.0 applications, increasingly pose privacy dilemmas. Due to the low costs and technical advances of storage technologies, masses of personal data can easily be stored. Once disclosed, these data may be retained forever, often without the knowledge of the individuals concerned, and be removed with difficulty. Hence, it has become hard for individuals to manage and control their personal spheres. Both legal and technical means are needed to protect privacy and to (re)establish the individuals’ control. This chapter provides an overview to the area of privacy-enhancing technologies (PETs), which help to protect privacy by technically enforcing legal privacy principles. It will start with defining the legal foundations of PETs and will present a classification of PETs as well as a definition of traditional privacy properties that PETs are addressing and metrics for measuring the level of privacy that PETs are providing. Then, a selection of the most relevant PETs is presented.

Place, publisher, year, edition, pages
Elsevier, 2013, 2. p. 755-772
Keywords [en]
privacy; privacy-enhancing technologies; personal privacy; legal privacy; legitimacy; purpose specification; purpose limitation; data minimization; transparency; data
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-45212DOI: 10.1016/B978-0-12-394397-2.00043-XScopus ID: 2-s2.0-84883964402ISBN: 9780123943972 (print)OAI: oai:DiVA.org:kau-45212DiVA, id: diva2:953756
Available from: 2016-08-18 Created: 2016-08-16 Last updated: 2018-06-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Fischer-Hübner, SimoneBerthold, Stefan

Search in DiVA

By author/editor
Fischer-Hübner, SimoneBerthold, Stefan
By organisation
Department of Mathematics and Computer Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 1658 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf