Articles producció científica> Enginyeria Informàtica i Matemàtiques

Query profile obfuscation by means of optimal query exchange between users

  • Dades identificatives

    Identificador: imarina:9285208
    Autors:
    Rebollo-Monedero, DavidForne, JordiDomingo-Ferrer, Josep
    Resum:
    We address the problem of query profile obfuscation by means of partial query exchanges between two users, in order for their profiles of interest to appear distorted to the information provider (database, search engine, etc.). We illustrate a methodology to reach mutual privacy gain, that is, a situation where both users increase their own privacy protection through collaboration in query exchange. To this end, our approach starts with a mathematical formulation, involving the modeling of the users' apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to exchange translates into finding optimization variables representing exchange policies, for various optimization objectives based on those entropies, possibly under exchange traffic constraints. © 2012 IEEE.
  • Altres:

    Autor segons l'article: Rebollo-Monedero, David; Forne, Jordi; Domingo-Ferrer, Josep
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Domingo Ferrer, Josep
    Paraules clau: User collaborations Shannon entropy Search engines Query processing Profile obfuscation Probability distributions Private information retrieval Privacy via user collaboration Privacy protection Optimization variables Mathematical formulation Information theory Information provider Entropy
    Resum: We address the problem of query profile obfuscation by means of partial query exchanges between two users, in order for their profiles of interest to appear distorted to the information provider (database, search engine, etc.). We illustrate a methodology to reach mutual privacy gain, that is, a situation where both users increase their own privacy protection through collaboration in query exchange. To this end, our approach starts with a mathematical formulation, involving the modeling of the users' apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to exchange translates into finding optimization variables representing exchange policies, for various optimization objectives based on those entropies, possibly under exchange traffic constraints. © 2012 IEEE.
    Àrees temàtiques: General computer science Engenharias iv Engenharias iii Electrical and electronic engineering Computer science, software engineering Computer science, information systems Computer science, hardware & architecture Computer science (miscellaneous) Computer science (all) Ciência da computação
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: josep.domingo@urv.cat
    Identificador de l'autor: 0000-0001-7213-4962
    Data d'alta del registre: 2024-10-12
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Enllaç font original: https://ieeexplore.ieee.org/document/6138865
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Ieee Transactions On Dependable And Secure Computing. 9 (5): 641-654
    Referència de l'ítem segons les normes APA: Rebollo-Monedero, David; Forne, Jordi; Domingo-Ferrer, Josep (2012). Query profile obfuscation by means of optimal query exchange between users. Ieee Transactions On Dependable And Secure Computing, 9(5), 641-654. DOI: 10.1109/TDSC.2012.16
    DOI de l'article: 10.1109/TDSC.2012.16
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2012
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Computer Science (Miscellaneous),Computer Science, Hardware & Architecture,Computer Science, Information Systems,Computer Science, Software Engineering,Electrical and Electronic Engineering
    User collaborations
    Shannon entropy
    Search engines
    Query processing
    Profile obfuscation
    Probability distributions
    Private information retrieval
    Privacy via user collaboration
    Privacy protection
    Optimization variables
    Mathematical formulation
    Information theory
    Information provider
    Entropy
    General computer science
    Engenharias iv
    Engenharias iii
    Electrical and electronic engineering
    Computer science, software engineering
    Computer science, information systems
    Computer science, hardware & architecture
    Computer science (miscellaneous)
    Computer science (all)
    Ciência da computação
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