Published in Ph.D. dissertation, Universitat Politècnica de Catalunya, Jun. 2017, 2017
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 are therefore aggregated and Online communications generate a consistent amount of data flowing among users, services and applications. This information results from the interactions between different parties, and once collected, it is used for a variety of purposes, from marketing profiling to product recommendations, from news filtering to relationship suggestions.
Recommended citation: S. Puglisi. (2017). "Analysis, Modelling and Protection of Online Private Data." Ph.D. dissertation, Universitat Politècnica de Catalunya, Jun. 2017. /files/Silvia_Puglisi_Thesis_PhD.pdf