Articles producció científica> Enginyeria Informàtica i Matemàtiques

Co-utile disclosure of private data in social networks

  • Dades identificatives

    Identificador: imarina:3647444
  • Autors:

    Sánchez D, Domingo-Ferrer J, Martínez S
  • Altres:

    Autor segons l'article: Sánchez D, Domingo-Ferrer J, Martínez S
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Domingo Ferrer, Josep / Martinez Lluis, Sergio / Sánchez Ruenes, David
    Paraules clau: Social networks Information exchange Data privacy Co-utility
    Resum: Social Networks (SNs) have become the mainstream web service by which users publish and share information. However, since much of that information is personal and sensitive, disclosing it in an uncontrolled way entails serious privacy risks. Paradoxically, most SNs assume that their users are willing to disclose sensitive data to others (even strangers) with little to no control. In this paper, we formalize the utility that rational users derive from participating in SNs, and argue that the current information exchange model is hardly sustainable from a rational viewpoint; actually, it goes against the interests of privacy-aware users. To tackle this issue, we propose several co-utile protocols for exchanging (sensitive) information among SN users. An interaction is said to be co-utile if the best way for a participant to increase her own utility is to help other participants increase theirs; hence, co-utile information exchange is self-enforcing and mutually beneficial for rational users. In this way, we ensure the sustainability of SNs in the long term, especially SNs with a sensitive scope (e.g., healthcare).
    Àrees temàtiques: Theoretical computer science Software Medicina ii Matemática / probabilidade e estatística Interdisciplinar Information systems and management Ensino Engenharias iv Engenharias iii Engenharias i Control and systems engineering Comunicação e informação Computer science, information systems Computer science applications Ciencias sociales Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
    ISSN: 00200255
    Adreça de correu electrònic de l'autor: sergio.martinezl@urv.cat josep.domingo@urv.cat david.sanchez@urv.cat
    Identificador de l'autor: 0000-0002-3941-5348 0000-0001-7213-4962 0000-0001-7275-7887
    Pàgina final: 65
    Data d'alta del registre: 2023-02-22
    Volum de revista: 441
    Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0020025518300902
    URL Document de llicència: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Information Sciences. 441 50-65
    Referència de l'ítem segons les normes APA: Sánchez D, Domingo-Ferrer J, Martínez S (2018). Co-utile disclosure of private data in social networks. Information Sciences, 441(), 50-65. DOI: 10.1016/j.ins.2018.02.010
    DOI de l'article: 10.1016/j.ins.2018.02.010
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2018
    Pàgina inicial: 50
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Artificial Intelligence,Computer Science Applications,Computer Science, Information Systems,Control and Systems Engineering,Information Systems and Management,Software,Theoretical Computer Science
    Social networks
    Information exchange
    Data privacy
    Co-utility
    Theoretical computer science
    Software
    Medicina ii
    Matemática / probabilidade e estatística
    Interdisciplinar
    Information systems and management
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias i
    Control and systems engineering
    Comunicação e informação
    Computer science, information systems
    Computer science applications
    Ciencias sociales
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
    Astronomia / física
    Artificial intelligence
    Administração pública e de empresas, ciências contábeis e turismo
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