A Model for Assessing the Risk of Revealing Shared Secrets in Social Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Luigi Troiano , Irene Díaz , Luis J. Rodríguez-Muñiz

ABSTRACT

We introduce the problem of information which become sensitive when combined, named shared secrets, and we propose a model based on Choquet integral to assess the risk that an actor in a social network is able to combine all information available. Some examples are presented and discussed and future directions are outlined. More... »

PAGES

499-508

References to SciGraph publications

  • 2009. On Link Privacy in Randomizing Social Networks in ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING
  • 2011-09. On link privacy in randomizing social networks in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2009. Data and Structural k-Anonymity in Social Networks in PRIVACY, SECURITY, AND TRUST IN KDD
  • 2011-07. The k-anonymity and l-diversity approaches for privacy preservation in social networks against neighborhood attacks in KNOWLEDGE AND INFORMATION SYSTEMS
  • Book

    TITLE

    Advances in Computational Intelligence

    ISBN

    978-3-642-31723-1
    978-3-642-31724-8

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-31724-8_52

    DOI

    http://dx.doi.org/10.1007/978-3-642-31724-8_52

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1008162557


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