Using sequential hypothesis testing (SHT) with false positive and false negative rates both set to 10^-5, more than 90% of reflectors required 40 or fewer experiment trials to reach a blocking decision; over 17 days the system collected 207.6 million runs across 47 trials spanning 2,134 sites and 2,050 reflectors.

Aggregate measurements across nearly 180 countries over 17 days found that 60% of reflectors experienced some degree of connectivity disruption; the bias of detected blocks toward Citizen Lab Block List sites held for both inbound and outbound filtering, and temporal variability corroborated documented censorship events around political timelines.

§VI-B evaluation

Of 2,134 tested sites, 229 (10.7%) were invalid for inbound blocking detection due to ingress filtering or network-origin discrimination; 431 additional sites were invalid for outbound blocking detection, of which 75% were Cloudflare-hosted and 7% Fastly-hosted because anycast topology prevents RST packets from returning to the originating anycast node.

§V-E evaluation

Validation against the Citizen Lab Block List (CLBL) showed that for 99% of reflectors, more than 56.7% of detected inbound-blocked sites were CLBL-listed (vs. 56.7% CLBL composition of the input dataset); 95% of reflectors showed the same directional bias for outbound filtering, confirming the method detects real censorship rather than measurement noise.

§VI-A, Figure 5 evaluation

Augur's Internet-wide ZMap scan found 22.7 million hosts (of 140 million reachable) using shared monotonically-increasing IP ID counters across 234 countries (median 1,667 reflectors per country); filtering to ethical infrastructure via CAIDA Ark reduced this to 53,130 reflectors in 179 countries (median 15 per country), representing 4,214 ASes.

§V-B, Table I evaluation

The largest single source of censored domains in the GNL is MESA lab's SNI monitoring dataset (E21-SNI-Top200w.txt) containing 57,362 censored domains, and E21-SNI-Top120W-20221020.txt with 36,467 domains—totaling over 93K domains from network tap data alone for a single country (E21 = Ethiopia per InterSecLab attribution). A separate Xinjiang dataset (XJ-CUCC-SNI-Top200w.txt) contains 13,604 domains. These datasets "do not seem to come from popular domain lists, and instead appear to be gathered from network taps," confirming that Geedge builds censorship target lists directly from passive traffic observation.

2026-sheffey-geedge §4.2, Table 3 dpisni-blockingmeasurement-platform

Of 6,915,266 domains extracted from the 572 GiB Geedge Networks Leak (GNL), 298,955 censored domains (93.7% of all GNL-censored domains) appear in neither Tranco top-1M nor CitizenLab test lists. Measurements across China (Guangzhou/Nanjing), Myanmar, Pakistan, and Algeria confirmed censorship via DNS injection and SNI-based TLS connection termination. The GNL covers 25–62% of Tranco-censored domains across countries, showing substantial but incomplete overlap. This vendor-side ground truth reveals a censorship surface roughly two orders of magnitude larger than curated academic test lists.

2026-sheffey-geedge §4.1, Table 2 dpisni-blockingdns-poisoningmeasurement-platform

CensorAlert aggregates censorship signals from heterogeneous open sources — including OONI, Cloudflare Radar, NetBlocks, GitHub Issues of circumvention tools (Hysteria, Xray), Net4People BBS, NTC Party forum, Mastodon, X, Telegram channels, and arXiv — normalizing each item into a common schema preserving timestamp, source, raw data, and provenance with a link to the original content.

2026-zohaib-extended §2 (Data Sources) measurement-platform

Systematic measurement platforms (OONI, Censored Planet, Cloudflare Radar, NetBlocks) have inherent blind spots due to geographic coverage and protocol-specific test constraints; critical censorship discoveries — including GFW fully-encrypted protocol blocking and regional Chinese censorship — were first surfaced by user reports on forums and GitHub issue pages of circumvention tools, not by automated measurement infrastructure.

2026-zohaib-extended §1 measurement-platformfully-encrypted-detect

CensorAlert generates text embeddings (OpenAI text-embedding-3-small) from each item's summary, title, and tags to cluster semantically similar reports within configurable time windows; near-duplicates such as reposts, copied headlines, and translations are collapsed into a single canonical post that preserves all original source URLs and metadata.

2026-zohaib-extended §2 (AI-based Scoring) measurement-platform

CensorAlert's LLM agent scores each ingested item 0–5 on five independent dimensions — credibility, novelty, impact, timeliness, and verifiability — then computes a normalized significance score (0–10) from these components; items are processed every two hours using OpenAI GPT-5 Thinking (hosted on Azure) constrained to return structured JSON output.

2026-zohaib-extended §2 (AI-based Scoring) measurement-platform