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DIVa: Decentralized Identity Validation for Social Networks
KTH, School of Electrical Engineering (EES), Communication Networks. (LCN/EES)ORCID iD: 0000-0002-0264-8762
Insubria University, Italy.
Insubria University, Italy.
Insubria University, Italy.
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2015 (English)Report (Other academic)
Abstract [en]

We suggested DIVa, a decentralized, unsupervised, and association rule mining based solution for the learning of fine-grained correlations between profile attributes in Online Social Networks. These correlations can be used for identity validation purposes. In this report, we provide the technical details and the security analysis proofs of the DIVa model.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2015. , 6 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-164397OAI: oai:DiVA.org:kth-164397DiVA: diva2:805740
Projects
iSocial
Note

QC 20150417

Available from: 2015-04-16 Created: 2015-04-16 Last updated: 2015-04-17Bibliographically approved

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fulltext(420 kB)174 downloads
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File name FULLTEXT02.pdfFile size 420 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

Authority records BETA

Soliman, Amira

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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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