20 citations · 32 across the 9 of their papers we have counts for
9 papers
INRISCO: INcident monitoRing In Smart COmmunities
Mónica Aguilar Igartua, Florina Almenares, Rebeca P. Díaz Redondo +13
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 ve…
On Web User Tracking: How Third-Party Http Requests Track Users' Browsing Patterns for Personalised Advertising
Silvia Puglisi, David Rebollo-Monedero, Jordi Forné
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 successf…
On Content-Based Recommendation and User Privacy in Social-Tagging Systems
Silvia Puglisi, Javier Parra-Arnau, Jordi Forné +1
Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions…
You never surf alone. Ubiquitous tracking of users' browsing habits
Silvia Puglisi, David Rebollo-Monedero, Jordi Forné
In the early age of the internet users enjoyed a large level of anonymity. At the time web pages were just hypertext documents; almost no personalisation of the user experience was…
Potential mass surveillance and privacy violations in proximity-based social applications
Silvia Puglisi, David Rebollo-Monedero, Jordi Forné
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 inf…
Smart Deferral of Messages for Privacy Protection in Online Social Networks
Javier Parra-Arnau, Félix Gómez Mármol, David Rebollo-Monedero +1
Despite the several advantages commonly attributed to social networks such as easiness and immediacy to communicate with acquaintances and friends, significant privacy threats prov…
Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems
Javier Parra-Arnau, David Rebollo-Monedero, Jordi Forné
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…
An Information-Theoretic Privacy Criterion for Query Forgery in Information Retrieval
David Rebollo-Monedero, Javier Parra-Arnau, Jordi Forné
In previous work, we presented a novel information-theoretic privacy criterion for query forgery in the domain of information retrieval. Our criterion measured privacy risk as a di…
On the Measurement of Privacy as an Attacker's Estimation Error
David Rebollo-Monedero, Javier Parra-Arnau, Claudia Diaz +1
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 spec…