Browsing behavior exposes identities on the Web

Autor:	Oliveira, Marcos, Yang, Junran, Griffiths, Daniel, Bonnay, Denis, Kulshrestha, Juhi
Rok vydání:	2023
Předmět:	Computer Science - Computers and Society Computer Science - Information Retrieval Computer Science - Social and Information Networks Physics - Physics and Society Statistics - Applications
Druh dokumentu:	Working Paper
Popis:	How easy is it to uniquely identify a person based solely on their web browsing behavior? Here we show that when people navigate the Web, their online traces produce fingerprints that identify them. Merely the four most visited web domains are enough to identify 95% of the individuals. These digital fingerprints are stable and render high re-identifiability. We demonstrate that we can re-identify 80% of the individuals in separate time slices of data. Such a privacy threat persists even with limited information about individuals' browsing behavior, reinforcing existing concerns around online privacy. Comment: 13 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2312.15489 Zobrazit plný text záznamu View this record from Arxiv