2016/05/20 by Silvia Puglisi, Puglisi, Silvia, David Rebollo‐Monedero +3
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computers and Society (cs.CY) #FOS: Computer and information sciences #Privacy, Security, and Data Protection #Spam and Phishing Detection
paper · pdf · doi:10.48550/arxiv.1605.06537
openalex publication_date 2016/05/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 o ered. The Web today has evolved as a world wide distributed system following specific architectural paradigms. On the web now, an enormous quantity of user generated data is shared and consumed by a network of applications and services, reasoning upon users expressed preferences and their social and physical connections. Advertising networks follow users' browsing habits while they surf the web, continuously collecting their traces and surfing patterns. We analyse how users tracking happens on the web by measuring their online footprint and estimating how quickly advertising networks are able to pro le users by their browsing habits.