Vito Daniele Gambina
Methodologies to derive subjective risk for web tracking.
Rel. Marco Mellia, Luca Vassio, Martino Trevisan. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2022
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Abstract
This work aims to increase the users' awareness while browsing the internet, introducing them to today’s tracking ecosystem and derive their perceived risk to assign to websites a subjective risk indicator score. In the digital era where we live, in almost all families it is possible to find a device, such as smartphone, pc, tablet, capable of connecting to the internet and allowing them to visit dozens of websites every day. During their daily online activity, people are unaware to encounter dozens and dozens of web trackers, that, nowadays, represent the most widespread threat to our privacy, allowing the slow and constant accumulation of different kinds of online data in order to build users profiles and to customize targeted ads or other things.
For this reason focusing on privacy online and data security is increasingly important and provide users, during their navigation, an indicator of websites risk may be a first step to improve their online experience
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