Navarro-Arribas G., Torra V. (eds.) Advanced Research in Data Privacy

Springer, 2015. — 453 pp.This book presents the research work done under the auspices of the ARES Project (CSD2007-00004). ARES, which stands for Advanced Research in Privacy and Security, has been one of the most ambitious research projects on computer security and privacy funded by the Spanish Government. It is part of the now extinct CONSOLIDER INGENIO 2010 program, a highly competitive program that aimed to advance knowledge and open new research lines among top Spanish research groups.
The ARES project, coordinated by Josep Domingo-Ferrer from Universitat Rovira i Virgili, started in 2007 and was composed of six research groups from six different institutions: Universitat Rovira i Virgili, Consejo Superior de Investigaciones Científicas, Universidad de Málaga, Universitat Oberta de Catalunya, Universitat Politecnica de Barcelona, and Universitat de les Illes Balears. After 7 years, the project is about to conclude this September 2014. It has given important and internationally recognized results in the areas of computer security and privacy, has significantly increased the research production, and has fueled technology transfer activities.
Among the ARES project, privacy has played an important role. Our group led the work package about privacy within the project, for which Vicenç Torra was mainly responsible. Our intention with this book is to provide a guide to the research done within the ARES project in relation to privacy.
Participants of the project were invited to submit a chapter on their contribution to data privacy and privacy enhancing technologies. These submissions were handled through a peer-review process ending in the current chapters that form the book. In addition, there are three introductory chapters: one that introduces the book, and two introducing the work of the main groups on privacy within ARES. At least one author of each contribution is, or has been, in the ARES project.
This is not an exhaustive enumeration of the work done in the ARES project related to privacy. Instead of giving an exhaustive list we opted for allowing the contributors to actually choose the work that they feel was more relevant and interesting for future research. This book aims to introduce and spread the work done in ARES directly related to privacy. We think it also serves as a review of the current research trends in privacy and privacy enhancing technologies.Advanced Research on Data Privacy in the ARES Project
Selected Privacy Research Topics in the ARES Project: An Overview
Data Privacy: A Survey of Results
Respondent Privacy: SDC and PPDM
A Review of Attribute Disclosure Control
Data Privacy with R
Optimisation-Based Study of Data Privacy by Using PRAM
Respondent Privacy: Semantic Related Respondent Privacy Protection
Semantic Anonymisation of Categorical Datasets
Contributions on Semantic Similarity and Its Applications to Data Privacy
An Information Retrieval Approach to Document Sanitization
Respondent Privacy: Location Privacy
Privacy for LBSs: On Using a Footprint Model to Face the Enemy
Privacy in Spatio-Temporal Databases: A Microaggregation-Based Approach
A Prototype for Anonymizing Trajectories from a Time Series Perspective
Respondent Privacy: Social Networks
A Summary of k-Degree Anonymous Methods for Privacy-Preserving on Networks
Evaluating Privacy Risks in Social Networks from the User’s Perspective
Respondent Privacy: Other Respondent Privacy
Enhancing Technologies
Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy
Electronic Ticketing: Requirements and Proposals Related to Transport
Security and Privacy Concerns About the RFID Layer of EPC Gen2 Networks
Privacy on Mobile Coupons Booklets
Smart User Authentication for an Improved Data Privacy
User Privacy: Web Search Engines
Multi-party Methods for Privacy-Preserving Web Search: Survey and Contributions
DisPA: An Intelligent Agent for Private Web Search
A Survey on the Use of Combinatorial Configurations for Anonymous Database Search
User Privacy: Recommender and Personalized Systems
Privacy-Enhancing Technologies and Metrics in Personalized Information Systems
Managing Privacy in the Internet of Things: DocCloud, a Use Case