Ara es mostren els items 21-40 de 45

    • Incremental k-Anonymous microaggregation in large-scale electronic surveys with optimized scheduling 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Hernández Baigorri, César (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-15)
      Article
      Accés obert
      Improvements in technology have led to enormous volumes of detailed personal information made available for any number of statistical studies. This has stimulated the need for anonymization techniques striving to attain a ...
    • INRISCO: INcident monitoRing in Smart COmmunities 

      Aguilar Igartua, Mónica; Almenares Mendoza, Florina; Díaz Redondo, Rebeca Pilar; Martín Vicente, Manuela Isabel; Forné Muñoz, Jorge; Campo Vazquez, Celeste; Fernández Vilas, Ana; Cruz Llopis, Luis Javier de la; García Rubio, Carlos; Marín López, Andres; Mohamad Mezher, Ahmad; Díaz Sánchez, Daniel; Cerezo Costas, Héctor; Rebollo Monedero, David; Arias Cabarcos, Patricia; Rico Novella, Francisco José (Institute of Electrical and Electronics Engineers (IEEE), 2020-01-01)
      Article
      Accés obert
      Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social ...
    • k-anonymous microaggregation with preservation of statistical dependence 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel (2016-05-10)
      Article
      Accés obert
      𝑘�������-Anonymous microaggregation emerges as an essential building block in statistical disclosure control, a field concerning the postprocessing of the demographic portion of surveys containing sensitive information, ...
    • Measuring the privacy of user profiles in personalized information systems 

      Parra Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge (Elsevier, 2014-04-01)
      Article
      Accés restringit per política de l'editorial
      Personalized information systems are information-filtering systems that endeavor to tailor information-exchange functionality to the specific interests of their users. The ability of these systems to profile users is, on ...
    • Medición de la privacidad de perfiles de usuario mediante un add-on de navegador 

      Estrada, Jose; Rodríguez, Ana; Parra Arnau, Javier; Forné Muñoz, Jorge; Rebollo Monedero, David (2013)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      Actualmente, la monitorización de los usuarios en Internet es permanente, y la información obtenida en este proceso es de enorme interés para grandes compañías de publicidad e incluso gobiernos. Además, la gran cantidad ...
    • On content-based recommendation and user privacy in social-tagging systems 

      Puglisi, Silvia; Parra-Arnau, Javier; Forné Muñoz, Jorge; Rebollo Monedero, David (Elsevier, 2015-09-01)
      Article
      Accés obert
      Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions, in order to provide personalised content. ...
    • On the anonymity risk of time-varying user profiles. 

      Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2017-04-26)
      Article
      Accés obert
      Websites and applications use personalisation services to profile their users, collect their patterns and activities and eventually use this data to provide tailored suggestions. User preferences and social interactions ...
    • On the measurement of privacy as an attacker's estimation error 

      Rebollo Monedero, David; Parra Arnau, Javier; Diaz, Claudia; Forné Muñoz, Jorge (2012)
      Article
      Accés obert
      A wide variety of privacy metrics have been proposed in the literature to evaluate the level of protection offered by privacy enhancing-technologies. Most of these metrics are specific to concrete systems and adversarial ...
    • On web user tracking of browsing patterns for personalised advertising 

      Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2017-02-19)
      Article
      Accés obert
      On today’s Web, users trade access to their private data for content and services. App and service providers want to know everything they can about their users, in order to improve their product experience. Also, advertising ...
    • On Web user tracking: how third-party http requests track users' browsing patterns for personalised advertising 

      Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2016)
      Text en actes de congrés
      Accés obert
      On today's Web, users trade access to their private data for content and services. Advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting ...
    • Optimal forgery and suppression of ratings for privacy enhancement in recommendation systems 

      Parra-Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge (2014-03)
      Article
      Accés obert
      Recommendation systems are information-filtering systems that tailor information to users on the basis of knowledge about their preferences. The ability of these systems to profile users is what enables such intelligent ...
    • Optimized query forgery for private information retrieval 

      Rebollo Monedero, David; Forné Muñoz, Jorge (2010-09)
      Article
      Accés obert
      We present a mathematical formulation for the optimization of query forgery for private information retrieval, in the sense that the privacy risk is minimized for a given traffic and processing overhead. The privacy ...
    • Optimizing the design parameters of threshold pool mixes for anonymity and delay 

      Rebollo Monedero, David; Parra Arnau, Javier; Forné Muñoz, Jorge; Díaz Martínez, María Claudia (2014-07-04)
      Article
      Accés restringit per política de l'editorial
      The provision of content confidentiality via message encryption is by no means sufficient when facing the significant privacy risks present in online communications. Indeed, the privacy literature abounds with examples of ...
    • p-probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Puiggalí Allepuz, Jordi (2016-12-13)
      Article
      Accés obert
      We develop a probabilistic variant of k-anonymous microaggregation which we term p-probabilistic resorting to a statistical model of respondent participation in order to aggregate quasi-identifiers in such a manner that ...
    • Potential mass surveillance and privacy violations in proximity-based social applications 

      Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (IEEE Press, 2016)
      Comunicació de congrés
      Accés obert
      Proximity-based social applications let users interact with people that are currently close to them, by revealing some information about their preferences and whereabouts. This information is acquired through passive ...
    • Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis 

      Rodríguez Hoyos, Ana Fernanda; Rebollo Monedero, David; Estrada Jiménez, José Antonio; Forné Muñoz, Jorge; Urquiza Aguiar, Luis Felipe (Elsevier, 2020-09-01)
      Article
      Accés obert
      Today’s countless benefits of exploiting data come with a hefty price in terms of privacy. -Anonymous microaggregation is a powerful technique devoted to revealing useful demographic information of microgroups of people, ...
    • Privacy protection of user profiles in personalized information systems 

      Parra Arnau, Javier; Forné Muñoz, Jorge; Rebollo Monedero, David (2012)
      Text en actes de congrés
      Accés obert
    • Privacy-preserving enhanced collaborative tagging 

      Parra Arnau, Javier; Perego, Andrea; Ferrari, Elena; Forné Muñoz, Jorge; Rebollo Monedero, David (2014-01-01)
      Article
      Accés restringit per política de l'editorial
      Collaborative tagging is one of the most popular services available online, and it allows end user to loosely classify either online or offline resources based on their feedback, expressed in the form of free-text labels ...
    • Private location-based information retrieval through user collaboration 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Solanas, Agusti; Martínez-Ballesté, Antoni (2009-12-05)
      Article
      Accés restringit per política de l'editorial
      Privacy and security are paramount in the proper deployment of location-based services (LBSs). We present a novel protocol based on user collaboration to privately retrieve location-based information from an LBS provider. ...
    • Private location-based information retrieval through user collaboration 

      Rebollo Monedero, David; Forné Muñoz, Jorge; Solanas, Agusti; Martinez-Balleste, Antoni (2010)
      Article
      Accés obert
      Privacy and security are paramount in the proper deployment of location-based services (LBSs). We present a novel protocol based on user collaboration to privately retrieve location-based information from an LBS provider. ...