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Semantic microaggregation for the anonymization of query logs using the Open Directory Project

  • Datos identificativos

    Identificador: imarina:9285121
    Autores:
    Erola ACastellà-Roca JNavarro-Arribas GTorra V
    Resumen:
    Web search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or profiling, but at the same time they are a great threat to the user's privacy. We provide a novel approach to anonymize query logs so they ensure user k-anonymity, by extending a common method used in statistical disclosure control: microaggregation. Furthermore, our microaggregation approach takes into account the semantics of the queries by relying on the Open Directory Project. We have tested our proposal with real data from AOL query logs.
  • Otros:

    Autor según el artículo: Erola A; Castellà-Roca J; Navarro-Arribas G; Torra V
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Castellà Roca, Jordi / EROLA CAÑELLAS, ARNAU
    Palabras clave: World wide web Web search engines User interfaces Statistical disclosure control Semantics Semantic web Semantic Search engines Query logs Privacy Open directory projects Microaggregation K-anonymity Information retrieval Anonymization
    Resumen: Web search engines gather information from the queries performed by the user in the form of query logs. These logs are extremely useful for research, marketing, or profiling, but at the same time they are a great threat to the user's privacy. We provide a novel approach to anonymize query logs so they ensure user k-anonymity, by extending a common method used in statistical disclosure control: microaggregation. Furthermore, our microaggregation approach takes into account the semantics of the queries by relying on the Open Directory Project. We have tested our proposal with real data from AOL query logs.
    Áreas temáticas: Statistics, probability and uncertainty Statistics and probability Statistics & probability Revistas de ciencias Operations research & management science Multidisciplinar Matemática / probabilidade e estatística Management science and operations research Economia Ciencias sociales Ciências agrárias i
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: jordi.castella@urv.cat
    Identificador del autor: 0000-0002-0037-9888
    Fecha de alta del registro: 2024-07-27
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://raco.cat/index.php/SORT/article/view/245067
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Sort-Statistics And Operations Research Transactions. (SPEC. ISSUE): 41-58
    Referencia de l'ítem segons les normes APA: Erola A; Castellà-Roca J; Navarro-Arribas G; Torra V (2011). Semantic microaggregation for the anonymization of query logs using the Open Directory Project. Sort-Statistics And Operations Research Transactions, (SPEC. ISSUE), 41-58
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2011
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Management Science and Operations Research,Operations Research & Management Science,Statistics & Probability,Statistics and Probability,Statistics, Probability and Uncertainty
    World wide web
    Web search engines
    User interfaces
    Statistical disclosure control
    Semantics
    Semantic web
    Semantic
    Search engines
    Query logs
    Privacy
    Open directory projects
    Microaggregation
    K-anonymity
    Information retrieval
    Anonymization
    Statistics, probability and uncertainty
    Statistics and probability
    Statistics & probability
    Revistas de ciencias
    Operations research & management science
    Multidisciplinar
    Matemática / probabilidade e estatística
    Management science and operations research
    Economia
    Ciencias sociales
    Ciências agrárias i
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