Thesis offers

Immersive analytics is a new area of research where data visualization techniques are used in VR environments. 

The objective of this project is to develop a concrete module that provides several charts of the outcome of a previous training session. The outcome must provide a visual comparison tool that allows the interactive exploration of different indicators, as well as temporal comparison of the evolution of indicators and comparison among users.

Forms of collaboration: Master Thesis, Master Thesis + CCE (CCE and IniRec grants are subject to availability)

Contact: Dolors Costal, Carme Quer

e-mail: carme.quer@upc.edu, dolors.costal@upc.edu,

Internet services are known to collect large amounts of personal information. As a result, more than half of EU citizens are concerned about their online privacy. In this context, data brokers are companies devoted to collecting and selling personal information to other companies. Data brokers are often implemented as third-party trackers, which allow them to gain visibility across the Internet. Recent works show this personal information is not only used for targeted advertising, but also for more obscure practices, such as price discrimination, credit scoring, phishing or identity theft. The project addresses these growing privacy concerns by enhancing ePrivo, a new online privacy observatory. ePrivo will continuously scan the Internet to unveil third-party trackers, the tracking methods they use and the data brokers behind them. A proof-of-concept prototype of ePrivo is already available at https://eprivo.eu. In this project, we will deploy the ePrivo service in production, extend its capabilities for web tracking and phishing detection, and release it under an open-source license. The results will be useful to the RIPE community, including ISPs, network operators, Internet users, policy makers and researchers.