CRSep 25, 2017

Detecting Censor Detection

arXiv:1709.08718v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of internet censorship circumvention for users in restrictive countries, though it is incremental as it builds on existing proxy server research.

The researchers investigated how censors respond to new obfuscated Tor bridges by measuring blocking times over a year in countries like China, Iran, and Kazakhstan. They found unexpected behaviors, such as varying delays, frequent unblocking, and a mid-experiment technique change in China, challenging assumptions about censorship.

Our goal is to empirically discover how censors react to the introduction of new proxy servers that can be used to circumvent their information controls. We examine a specific case, that of obfuscated Tor bridges, and conduct experiments designed to discover how long it takes censors to block them (if they do block at all). Through a year's worth of active measurements from China, Iran, Kazakhstan, and other countries, we learn when bridges become blocked. In China we found the most interesting behavior, including long and varying delays before blocking, frequent failures during which blocked bridges became reachable, and an advancement in blocking technique midway through the experiment. Throughout, we observed surprising behavior by censors, not in accordance with what we would have predicted, calling into question our assumptions and suggesting potential untapped avenues for circumvention.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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