If bridges run on predictable ports and any TCP connection to a bridge port reveals it as a Tor bridge, a censor can scan the entire address space of residential ISP ranges to enumerate and block all bridges. The paper proposes 'scanning resistance': bridges require a nonced hash of a pre-shared password before revealing Tor behavior, and respond to unauthenticated connections by impersonating an ordinary HTTPS server (e.g., default Apache page or a random legitimate website).

Tor's public relay list (a few thousand IP addresses as of 2006) can be trivially enumerated and blocked by a censor. The paper proposes 'bridge relays' drawn from Tor's existing user base of hundreds of thousands of people, creating a pool of frequently-changing IP addresses that is too large and dynamic for a censor to enumerate completely. Bridge relays rate-limit relayed connections to ~10 KB/s and publish descriptors only to a private bridge directory authority rather than the public consensus.

§5.1 defense

The paper proposes dividing public bridge addresses into 8 pools (n=3 bits from HMAC(identity-key, authority-secret)) each assigned a distinct distribution strategy: time-windowed release, IP-subnet-partitioned assignment, time+location combined, mailing-list rotation, email/CAPTCHA delivery, and social-trust delegation. Deploying all strategies concurrently forces the attacker to allocate resources across every channel simultaneously, making all strategies more robust than any single strategy deployed alone.

§7.4, §7.8 defense

Tor's 2006 TLS handshake contained multiple identifying fingerprints exploitable by censors: the X.509 organizationName field was set to 'Tor', the relay nickname appeared in the commonName field, clients always presented certificates (unlike browsers), and Tor used two-certificate chains (identity cert + per-session TLS cert) while most consumer HTTPS services use a single certificate. The paper flags these as sufficient for a censor to identify Tor traffic without deep payload inspection.

§6 detection

Tor encrypts payload but does not obscure traffic volume, leaving a residual publisher-vs-reader asymmetry: a user publishing a home video generates a markedly different upload/download ratio than one reading news. The paper also notes that website fingerprinting attacks — where the adversary pre-downloads hundreds of popular sites and matches traffic patterns to a Tor client's stream — remain possible even through bridge circuits, and are exacerbated by Tor's varying supported protocols (web vs. IM produce different timing signatures).

§8.2 detection

InterSecLab's 76-page analysis of the Geedge/MESA leak (based on nine months of indexing and translating >100,000 documents) characterizes the Tiangou Secure Gateway (TSG) product line as a commercially deployable detection stack that combines deep packet inspection, real-time mobile subscriber monitoring, active probing, ML-based traffic classifiers, and granular per-region rule sets. TSG is not a research prototype — leaked documentation includes deployment timelines and client government interactions for Kazakhstan, Ethiopia, Pakistan, Myanmar, and one unnamed country, with censorship rules explicitly tailored to each region.

2025-interseclab-internet-coup §3–§5 (InterSecLab report) dpiactive-probingml-classifiersni-blockingip-blockingtraffic-shapefully-encrypted-detect

Justice for Myanmar documents that Geedge Networks supplied Myanmar's military junta with GFW-derived surveillance and censorship infrastructure under Belt and Road frameworks following the February 2021 coup. The deployed system (Tiangou Secure Gateway / TSG) incorporates the same DPI, active-probing, and ML-classifier capabilities as the domestic Chinese GFW, giving Myanmar one of the most technically capable censorship systems in Southeast Asia.

2025-jfm-silk-road-surveillance §3, §5 dpisni-blockingip-blockingtraffic-shapeml-classifieractive-probing

Snowflake's sustained operation in heavily censored regions demonstrates that WebRTC must remain accessible to users, which in turn requires that TURN servers remain unblocked to support NAT traversal for peer-to-peer WebRTC connections. This transitive unblockability makes TURN service providers viable rendezvous channels for the Bridge Distribution Problem.

2025-vilalonga-extended §3.2 Bridge Distribution Problem ip-blockingactive-probing

TURN servers used by major applications such as Facebook Messenger for media relay are hypothesized to be less likely blocked in censored regions due to collateral damage to legitimate WebRTC traffic. Providers like Cloudflare, Metered Video, and ExpressTURN supply geographically distributed TURN infrastructure that can be used without any special configuration by a censorship evasion system.

2025-vilalonga-extended §1 Introduction & Background dpiactive-probingip-blocking

Traffic splitting across N TURN proxies (1 ≤ N ≤ M) is hypothesized to resist active probing because each TURN server responds to probing requests identically to a regular TURN server, providing no distinguishing signal. Additionally, proxy ephemerality combined with splitting allows on-the-fly migration to new proxies when existing ones are blocked, maintaining connectivity even under partial blocking.

2025-vilalonga-extended §3.3 Censorship Evasion active-probingip-blockingdpi

The paper defines Unauthenticated Push (UP) channels as a distinct archetype from signaling/rendezvous channels, characterized by three properties: strictly unidirectional delivery, no client authentication or account association required, and higher bandwidth (kilobytes to megabytes) to support software updates rather than just minimal proxy-address exchanges. This design deliberately shifts operational-security burden onto senders to approach receiver anonymity.

2025-vines-extended §1–§3 ip-blockingactive-probing