Detecting Network-based Internet Censorship via Latent Feature Representation Learning. (arXiv:2209.05152v2 [cs.LG] UPDATED)

Internet censorship is a phenomenon of societal importance and attracts
investigation from multiple disciplines. Several research groups, such as
Censored Planet, have deployed large scale Internet measurement platforms to
collect network reachability data. However, existing studies generally rely on
manually designed rules (i.e., using censorship fingerprints) to detect
network-based Internet censorship from the data. While this rule-based approach
yields a high true positive detection rate, it suffers from several challenges:
it requires human expertise, is laborious, and cannot detect any …

arxiv censorship feature internet network representation representation learning