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A Metric for Anonymity based on Subjective Logic
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Anonymity metrics have been proposed to evaluate anonymity preserving systems by estimating the amount of information displayed by these systems due to vulnerabilities. A general metric for anonymity that assess the latter systems according to the mass and quality of information learned by an attacker or a collaboration of attackers is proposed here.

The proposed metric is based on subjective logic, a generalization of evidence and probability theory. As a consequence, we proved based on defined scenarios that our metric provide a better interpretation of uncertainty in the measure and it is extended to combine various sources of information using subjective logic operators. Also, we demonstrate that two factors: trust between collaborating attackers and time can influence significantly the metric result when taking them into consideration.

Place, publisher, year, edition, pages
2014. , 78 p.
Keyword [en]
Anonymity, subjective logic, trust, privacy and anonymity preserving systems.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-104224ISRN: LiTH-IDA/ERASMUS-A--14/001--SEOAI: oai:DiVA.org:liu-104224DiVA: diva2:695574
Subject / course
Erasmus, project work, advanced level, IDA
Presentation
2014-01-16, 15:24 (English)
Supervisors
Examiners
Available from: 2014-02-14 Created: 2014-02-11 Last updated: 2014-02-14Bibliographically approved

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fulltext(986 kB)170 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
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