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Triangle randomization for social network data anonymization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43924757" target="_blank" >RIV/49777513:23520/14:43924757 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Triangle randomization for social network data anonymization

  • Original language description

    In order to protect privacy of social network participants, network graph data should be anonymised prior to its release. Most proposals in the literature aim to achieve k-anonymity under specific assumptions about the background information available tothe attacker. Our method is based on randomizing the location of the triangles in the graph. We show that this simple method preserves the main structural parameters of the graph to a high extent, while providing a high re-identification confusion.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ARS MATHEMATICA CONTEMPORANEA

  • ISSN

    1855-3966

  • e-ISSN

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    SI - SLOVENIA

  • Number of pages

    17

  • Pages from-to

    "461?477"

  • UT code for WoS article

    000346150500016

  • EID of the result in the Scopus database