Modeling and Detecting Internet Censorship Events
Elisa Tsai
Network and Distributed System Security (NDSS) Symposium 2024 · Day 1 · Censorship
In an era where internet freedom is increasingly challenged, understanding and detecting censorship events is paramount for human rights organizations, journalists, and researchers. However, the sheer volume and complexity of global censorship measurement data, such as the tens of billions of measurements collected by observatories like OONI and Censored Planet, present an overwhelming challenge for analysis. Traditional manual approaches are unscalable, while previous time-series methods often lack the interpretability needed for non-experts to grasp the nuances of diverse blocking policies. Elisa Tsai's presentation at NDSS Symposium introduces **CenDTect**, a novel, unsupervised learning system designed to bridge this critical gap.