To match legitimate user behavior, the Camouflage dispatcher enforces empirically derived per-protocol session time limits: email 1–3 minutes, file sharing 5–10 minutes, instant messaging 15–20 minutes, and VoIP 20–30 minutes (Table 1). Sessions exceeding these windows produce a detectable deviation from population-level usage norms.

Measured data overhead when loading web pages across four circumvention channels over DSL: instant messaging (Skype text) added 39% overhead, email added 107%, file sharing (Dropbox) added 272%, and VoIP audio modulation added an 84× overhead. Latency was lowest for instant messaging; VoIP latency was dominated by its limited 1200-baud audio encoding bandwidth.

§5.1, Figure 2 evaluation

Camouflage bypassed GFW censorship in China across one month of daily testing with no plugin blocked. The GFW's primary mechanism was identified as keyword filtering on web content rather than DNS hijacking (avoided due to risk of collateral international impact). Dropbox was inaccessible inside China during testing, demonstrating that plugin substitutability is operationally necessary: at least one alternative protocol must remain reachable in any given censored environment.

§5.3 evaluation

Protocol imitation systems (SkypeMorph, CensorSpoofer, StegoTorus) fail to achieve unobservability because they implement the target protocol only partially, creating statistical discrepancies that censors can detect. Houmansadr et al. (2013) demonstrated this as a fundamental flaw: unobservability by imitation is categorically insufficient as a circumvention design principle.

§1, §6 detection

A single-protocol circumvention system creates a detectable anomaly: when the system is active, the traffic pattern on that protocol diverges from the same user's baseline behavior, which anomaly-based detectors can classify. Users who also legitimately use the tunneled service in daily life produce two distinct signatures — one with and one without the circumvention layer — further compounding detectability.

§5.2 detection

A three-stage detection pipeline exploiting the "dual-role" behavioral fingerprint of single-IP circumvention relays achieved 23.2% recall (96/414 ground-truth relays) with a 0.18% false-positive rate against 97,651 benign TLS servers, for an overall accuracy of 99.5%. The ground-truth set covered OpenVPN, WireGuard, and SOCKS relays identified in a 17 TB single-day backbone trace (WIDE Project, April 9, 2025).

2026-almutairi-server §3.4, Table 1 traffic-shapedpiflow-correlation

The paper identifies a fundamental architectural vulnerability in single-IP circumvention designs: a relay must generate new observable flows (via DNS or TLS SNI) to reach end services after receiving client connections, creating a detectable server-and-client behavioral contrast. A relay accessing user-facing domains (news, social media) scores high on a Relay Suspicion Score (w=0.9) versus infrastructure domains (w=0.1). The paper argues this host-level signal is censorship-invariant and cannot be concealed by link obfuscation.

2026-almutairi-server §2.4, §4 traffic-shapedpisni-blocking

Simulations extending the ENEM19 game-theory framework show that ephemeral proxy schemes (modeled on Snowflake/Lantern) effectively neutralize both the "optimal" and "aggressive" censors from the original framework. In overprovisioned settings (proxies arriving at 250/step vs. 200 clients/step), even the null censor scenario outperforms either censor in equal-arrival settings. Over 90% of waiting users receive a proxy within 1 time step. The critical variable is not censor sophistication but proxy arrival rate relative to client demand—high proxy churn combined with high arrival rate defeats both enumeration strategies tested.

2026-fares-game §4, Fig 1, Fig 2, Table 1 dpitraffic-shape

The host-profiling censor (passive traffic analysis: count connections per server, block those exceeding a threshold τ within a window w) blocks essentially all circumvention user traffic within 30 time steps for all classifier qualities tested (ρ_TP ∈ {0.9, 0.95, 0.99}), while causing far less collateral damage than zig-zag (never exceeding ~30% innocent server blocking). Snowflake resists this attack well: with w=3, τ=3, over 94.48% of users receive a proxy within 2 steps even with worst-classifier rules, and final unblocked server rates are 91.24–99.04%. The host profiling approach is feasible for passive censors who cannot enumerate the distribution channel.

2026-fares-game §5.2, Table 2, Table 3 traffic-shapeml-classifier

Multi-censor simulations show that single-censor-optimized distribution strategies perform suboptimally in realistic multi-region deployments. When two networks have different censor strategies (e.g., one optimal, one zig-zag), the distributor cannot detect that a proxy is blocked until all censors have blocked it; this leaves clients without reachable proxies despite the proxy appearing "available" from the distributor's view. The authors conclude that "single-censor evaluation does not accurately predict more realistic deployment performance." A zig-zag censor in one region with 0.25 weight caused 44.4% collateral damage while reducing proxy lifetime to a median of 4 steps.

2026-fares-game §6, Table 4 traffic-shapeflow-correlation

The zig-zag traffic analysis attack (confirmed supported in Geedge TSG leak) rapidly enumerates all static proxy pools. With ζ_watch ∈ {4, 6} steps and a best-quality classifier (ρ_TP=0.99, ρ_FP=0.001), almost total proxy enumeration and user blockage occurs well before step 300. Even ζ_watch=2 leaves ~50% of users blocked. Collateral damage is high across all settings when ζ_watch ≥ 4: eventually ~50% of innocent servers are also blocked. However, Snowflake-style ephemeral proxies resist zig-zag effectively: reachability remains above 95% after 360 steps because churn prevents the censor from expanding its known proxy set beyond agents' direct assignments.

2026-fares-game §5.1, Fig 3, Fig 4 traffic-shapeflow-correlation