in   India

A compiled blocklist dataset documents 43,083 apex domains blocked via DNS filtering across 6 Indian ISPs, representing one of the largest systematic inventories of Indian DNS censorship scope published to date.

2026-qurbat-list-domains-blocked compiled_blocklist.csv (main dataset) evaluation

The dataset incorporates Tranco popularity rankings for blocked domains (derived from the 'Poisoned Wells' research), enabling measurement of how DNS blocking in India intersects with high-traffic websites rather than being confined to obscure domains.

2026-qurbat-list-domains-blocked Abstract (Tranco ranking annotation) evaluation

The blocklist spans 6 distinct Indian ISPs, enabling cross-ISP consistency analysis; the multi-ISP scope reflects that DNS-based blocking in India is implemented heterogeneously at the ISP level rather than via a single national chokepoint.

2026-qurbat-list-domains-blocked Abstract / dataset metadata evaluation

DNS filtering is the documented primary blocking mechanism across the 6 surveyed Indian ISPs, with no evidence in this dataset of complementary IP-blocking or SNI-based blocking layers, suggesting the censor relies on DNS as a sufficient single-layer enforcement point.

2026-qurbat-list-domains-blocked Abstract / dataset scope detection

For Tier 2 apps (IP geo-blocking only), using a VPN with a foreign endpoint was sufficient to restore access. For Tier 1 apps (SIM + IP geo-blocking), the authors confirmed that (1) removing the Indian SIM card and accessing via WiFi, or (2) intercepting HTTP traffic with a MITM proxy to suppress or rewrite the carrier_region=IN parameter, fully bypassed server-side censorship. The authors note that Indian users primarily rely on mobile Internet, making SIM removal impractical as a user-facing solution.

2024-gosain-out §4.3, §5 defense

Across four major Indian ISPs (Reliance Jio, Airtel, Vodafone-Idea, and ACT) cumulatively serving more than 95% of Indian clients, the authors found zero network-level interference with 220 banned Chinese apps. DNS resolved to legitimate addresses, TCP and TLS handshakes completed successfully with actual app servers, and responses were served directly by app publishers — not by ISP middleboxes.

2024-gosain-out §4.2 evaluation

After India imposed a permanent ban in January 2021, seven of the eight previously SIM-only-blocked apps escalated to dual-factor filtering: they continued extracting carrier_region=IN from the SIM card while simultaneously adding IP geo-blocking. Accessing these apps now requires both a VPN (for source IP masking) and SIM removal or carrier_region parameter suppression; MICO Chat remained the sole app using only SIM-based blocking.

2024-gosain-out §4.3 (Permanent ban subsection), Table 2 evaluation

Seven of the 220 banned apps (Tier 1, including TikTok, Likee, Kwai, UC Browser, FaceU, Hago, and V-Fly) used the Android TelephonyManager.getSimCountryISO() API to read the primary SIM's country code and embed a carrier_region=IN parameter in HTTP requests, enabling server-side identification and blocking of Indian users regardless of source IP or VPN state. A dual-SIM phone with an Indian SIM in the secondary slot only (primary empty or non-Indian) bypassed the check.

2024-gosain-out §4.3 detection

India's app-filtering architecture is three-tiered: 136/220 apps (Tier 3) are inaccessible only via official app stores and trivially accessible after sideloading; 23 apps (Tier 2) additionally enforce IP geo-blocking; and 7 apps (Tier 1) combine IP geo-blocking with SIM-based locale detection. One outlier, ChessRush, restricted content at CDN edge servers serving Indian users, requiring both a foreign source IP and a foreign CDN edge server (via foreign DNS resolver) to bypass.

2024-gosain-out §4 (Summary), §4.3 evaluation

VPS-based vantage points in Singapore and India detected censorship patterns similar to 'free' locations, failing to observe blocking known to be enforced by local ISPs following government directives. This occurred because ISP-level censorship is implemented per-carrier rather than centrally, and the VPS provider's ISP did not enforce those blocks — confirmed by re-testing from a residential IP that did observe the expected blocks.

2024-tang-automatic §6.2 detection

DeResistor-generated evasion strategies achieve an overall success rate of up to 98.61% against GFW (across vantage points in Qingdao, Shanghai, and Beijing) for the best strategy, and 100% in both India (Bangalore) and Kazakhstan (Oral) for the top-performing strategy, while standalone Geneva strategies tested in the same environment achieve comparable or slightly lower rates on some censors but are blocked at the IP level before training completes.

2023-amich-deresistor §6.3, Table 2 evaluation

DeResistor's two-objective fitness function (balancing evasion success and detection probability) reduces flow-level detection rates from 96.27% → 45.06% against China's GFW, 99.50% → 34.93% against India, and 99.50% → 49.22% against Kazakhstan over 5 training generations, while in all cases preventing TRW from reaching an IP-block decision that would terminate training.

2023-amich-deresistor §5.1, §6.2, Table 1 defense

Geneva packet-manipulation probing traffic exhibits distinctive features — corrupt data-offset fields, smaller packet sizes, overlapping TCP segments, TTL variance, and non-zero SYN packets — that allow simple ML classifiers (Decision Trees, Random Forests, Logistic Regression, SVM) to detect it with AUC > 0.99. A subsequent TRW-based IP-level detector can then block the source IP with high confidence after inspecting only 2 Geneva probing flows.

2023-amich-deresistor §4.1–§4.2 detection

Interleaving a single normal benign flow (jump size J=1) after each detected probe prevents the TRW likelihood ratio from converging to the IP-block threshold across all 11 simulated censors and all three real-world censors tested; setting J>1 risks triggering a history-aware TRW reset that can paradoxically accelerate IP-level detection.

2023-amich-deresistor §5.2, §6.2 defense

Across 7,336 websites analyzed comparatively across 71 ASes, blocklist sizes ranged from roughly 3,000 to 7,000 websites per AS, with differences between ISPs as large as 2,000 websites out of ~8,000 analyzed. Within single ASes, further blocklist variation was observed, suggesting misconfiguration or non-uniform middlebox deployment. Only 6,787 of 7,336 sites were blocked by at least one AS.

2023-katira-censorwatch §5.2, Appendix A evaluation

Only 10 of 64 measured Indian ASes conduct DNS-based blocking, but Atria Convergence Technologies (AS24309) was found performing DNS injection attacks against public DNS resolvers including Cloudflare, Google, and Quad9 — affecting 8.45% of the roughly 3 million DNS measurements collected using those resolvers. DNS blocking is otherwise concentrated in two large providers (AS24309 with 125,154 confirmed blocks and National Internet Backbone / BSNL with 92,653 confirmed blocks).

2023-katira-censorwatch §5.1, Table 3 detection

HTTP-based blocking is the dominant censorship technique across Indian ISPs, observed in 64 of 71 measured ASes. However, the authors note it is largely ineffective because over 90% of web connections now use HTTPS, meaning ISPs cannot inspect the HOST header for the vast majority of traffic — making HTTP blocking easily bypassed by any HTTPS client.

2023-katira-censorwatch §5.1 evaluation

CensorWatch found that 2,370 of 3,745 websites covered by a 2018 temporary court injunction (which was withdrawn in early 2019) remained blocked by at least one Indian ISP, indicating ISPs do not routinely update blocklists to implement unblocking orders. Additionally, three ASes (Hathway AS17488, YOU Broadband AS18207, RailTel AS24186) continued to block avaaz.org despite an explicit government unblocking order issued on 18 January 2019.

2023-katira-censorwatch §6.1, §6.2 policy

SNI-based blocking is deployed by 16 of 64 measured ASes in India, concentrated heavily among the two largest ISPs: Reliance Jio (189,331 confirmed SNI blocks across 504,400 measurements) and Bharti Airtel Telemedia (158,022 confirmed blocks across 540,425 measurements). Smaller ISPs exhibit only marginal SNI blocking, likely as collateral from traffic peering through larger ISP infrastructure.

2023-katira-censorwatch §5.1, Table 2 detection

A 280-character tweet via Dolphin takes under 1 minute end-to-end; a 500-character email takes approximately 2.7 minutes (∼1 minute for ECDH secure-channel setup plus ∼1.7 minutes for data transmission). Performance was confirmed during a real Internet shutdown in Delhi, India, where a 300-character email transferred reliably in about 1 minute.

2023-sharma-dolphin §5.2, §5.4, Figs. 8–10 evaluation

Documented Internet shutdown events grew from 75 in 2016 to 213 in 2019 across 33 countries, with individual shutdowns lasting from hours to 472 days (Chad). These shutdowns completely sever IP connectivity, rendering all existing circumvention tools (Tor, VPNs, Shadowsocks, etc.) non-functional since they require at least partial Internet access to operate.

2023-sharma-dolphin §1–2 deployment

Extending Geneva's genetic algorithm to the application layer automatically discovered 77 unique HTTP evasion strategies and 9 DNS evasion strategies against censors in China, India, and Kazakhstan — all requiring only unprivileged usermode modifications with no TCP/IP header access. Against India's Airtel censor, 56 of the 77 strategies succeeded; 29 worked against Kazakhstan; 22 evaded China's keyword-based HTTP censorship and 27 evaded its Host-header censorship.

2022-harrity-get §5.1, §6 evaluation

India's Airtel HTTP censor fails to reassemble TCP segments: padding any HTTP request to at least 1,449 bytes causes the IP+TCP overhead (52 bytes) to push the total past the Ethernet MTU of 1,500 bytes, forcing segmentation that the censor cannot handle and achieving 100% evasion. Kazakhstan requires the segmentation boundary to fall precisely between the Host header name and value (with two trailing spaces), rather than anywhere in the request.

2022-harrity-get §5.2 evaluation

A central finding of the paper is that RFC-compliance in the censor creates evasion opportunities: the more faithfully a censor parses HTTP/DNS per the RFC, the more RFC-permitted variants it will pass that servers also accept, yielding more viable evasion strategies. In contrast, India's Airtel censor was the most brittle (56/77 strategies bypassed it) precisely because it failed on many legitimate RFC variants; China's more sophisticated parser left fewer openings.

2022-harrity-get §5.1, §7 detection

D-LDA detected event-driven shifts in Indian censorship without prior knowledge: the word 'violence' disappeared from the 'Riots in India' topic cluster between months 6 and 14 of the measurement period, and 'killing' did not appear until month 16, consistent with the absence of actual riots during that window. Similarly, the 'Danish cartoonist' topic shifted from cartoon-focused discourse to broader Islamic-rights framing ('freedom,' 'speech') approximately 18 months in.

2022-waheed-darwin-s §3.2, Figure 3 evaluation

Data gaps severely degrade D-LDA accuracy: erasing every other month reduced the corpus from 4,577 to 1,919 documents and caused the model to lose detection of 'Religion-motivated killing,' 'Religious websites,' 'Muslim Violence,' and 'Homicide' topics entirely. Erasing one in three months (1,479 documents) caused further topic loss, and even removing one random month altered topic evolution trajectories. For 25% of pages, the gap between Wayback Machine snapshots and ICLab observations exceeds one year.

2022-waheed-darwin-s §3.3, Figures 4–5, Tables 2–3 evaluation

Dynamic LDA applied to ICLab longitudinal data for India (2016–2020) successfully identified 14 distinct censored topic clusters—including religious conflict, piracy, educational fraud, and political dissent—from 677 overtly-censored URLs out of 6,012 tested (11.3% overtly censored at least once). The model required monthly time-slice granularity; daily and weekly granularities produced unstable results due to wild swings in document counts.

2022-waheed-darwin-s §3.1, Table 1 evaluation

India's censorship apparatus, while less aggressive than China's, legally mandates ISP-level blocking capability and has deployed it regularly. Of 6,012 URLs in ICLab's India test list observed since 2016, only 677 (11.3%) were ever overtly censored (block-page redirect); the majority of anomalies were covert (connection disruption mimicking network faults) and excluded from analysis due to ambiguity. Censorship topics include not only political dissent but copyright enforcement, indicating infrastructure originally deployed for political control is routinely repurposed.

2022-waheed-darwin-s §2, §3.1 policy

In India (AS55836), TCP and QUIC failure rates closely track each other (15.0% vs 12.0%), with every TCP-hs-to and route-err failure matched by a corresponding QUIC failure, confirming IP-based blocking affects both protocols equally. In contrast, India AS14061 (VPS) shows 16.3% TCP failure entirely from route-err but only 0.1% QUIC failure, suggesting the VPS vantage point sits outside the censored path.

2021-elmenhorst-web §5.1, Table 1, Figure 3b detection

Only approximately 5% of domains from the combined Citizen Lab and Tranco Top-4000 test lists supported QUIC in early 2021, heavily skewing the measurable set toward large global .com domains (e.g., Google properties). This bias means the study predominantly captures censorship of internationally targeted sites rather than country-specific domains.

2021-elmenhorst-web §4.3 evaluation

Across all four studied countries (China, Iran, India, Kazakhstan), HTTP/3 over QUIC had consistently lower failure rates than HTTPS over TCP: 27.1% vs 37.3% in China, 16.2% vs 34.4% in Iran, and 12.0% vs 15.0% in India (AS55836). The only QUIC-specific interference method observed was black-holing during the QUIC handshake (QUIC-hs-to); no RST injection or SNI-based QUIC filtering was detected.

2021-elmenhorst-web §5, Table 1 evaluation

Anycast CDN architecture dominates popular web content delivery: in the US, 59% of Alexa top-1k websites use anycast CDNs vs. 19% DNS-based; in Saudi Arabia, 57% use anycast CDNs. IP geolocation databases such as Maxmind are severely inaccurate for anycast infrastructure — reporting only <15% of Saudi Alexa websites as in-country vs. 90% measured by RTT-based multilateration — causing prior research to incorrectly attribute "nation-state hegemony" over developing-country Internet traffic.

2021-gosain-too §4.4, §6.3, Table 1 evaluation

CDN infrastructure causes 61%–92% of country-specific Alexa top-1k websites to be hosted within the client's own country across India, Iran, Saudi Arabia, Brazil, and the US, as measured by the authors' R-CBG multilateration technique achieving >89% accuracy. This traffic localization means web requests to popular sites rarely cross national borders, undermining the foundational assumption of decoy routing, domain fronting, CacheBrowser, and CovertCast.

2021-gosain-too §4.2, §5.2 evaluation

Conjure's initial registration step requires the client to connect to an overt website hosted outside the censor's jurisdiction before deriving the unused IP address for actual decoy routing, but CDN traffic localization means this bootstrap connection frequently terminates at a local front-end and never crosses the border. The paper finds that for India's Alexa top-100 sites, only 23 websites had any parallel (leaf) HTTP connections terminating outside the country, with a median of just 3 such external leaf connections per site.

2021-gosain-too §5.2, §6.2 evaluation

Protozoa's encoded media tunneling achieves an AUC of 0.59 against a state-of-the-art ML traffic classifier using packet-size and inter-arrival-time features—near the 0.5 random-guessing baseline—compared to >99% detection rates for prior tools such as Facet and DeltaShaper. To block 80% of Protozoa flows (TPR=0.8), a censor would erroneously flag approximately 60% of legitimate WebRTC flows (FPR=0.6). This resistance holds across trace durations from 10–60 seconds (AUC range 0.56–0.61) and across RTT, bandwidth, and packet-loss variations.

2020-barradas-poking §6.2, Table 1, Figure 8 evaluation

Protozoa successfully bypassed censorship in China, Russia, and India using whereby.com as a carrier. Despite several WebRTC services being blocked in China (appr.tc, discordapp.com, hangouts.google.com, messenger.com), at least seven alternatives remained reachable (aws.amazon.com/chime, coderpad.io, gotomeeting.com, slack.com, whereby.com, and others), ensuring carrier availability. Covert sessions over the alternative services coderpad.io and appr.tc achieved AUCs of 0.58 and 0.60, respectively, and average throughput of 1388–1420 Kbps.

2020-barradas-poking §7.2, Table 3 evaluation

Protozoa uses the economic and social indispensability of popular WebRTC conferencing services as a censorship deterrent: blocking all WebRTC traffic imposes prohibitive collateral damage on legitimate commerce and communication. This 'parasitism' strategy means the circumvention tool inherits the blocking immunity of the carrier without requiring any protocol mimicry at the network level. Protozoa requires only one reachable WebRTC service to function, and Table 3 confirms at least five services remained unblocked in China during testing.

2020-barradas-poking §3, §7.2 defense

The paper presents 11 purely server-side censorship evasion strategies requiring zero client-side software, successfully bypassing censorship in China, India, Iran, and Kazakhstan across DNS-over-TCP, FTP, HTTP, HTTPS, and SMTP. All strategies manipulate only TCP handshake packets (primarily the SYN+ACK) and were verified against 17 versions of 6 client operating systems (Windows XP–Server 2018, MacOS, iOS, Android, Ubuntu, CentOS) with unmodified clients.

2020-bock-come §1, §5, Table 2 defense

TCP Window Reduction (Strategy 8)—reducing the SYN+ACK TCP window to 10 bytes and stripping wscale options, forcing the client to segment its request—achieves 100% evasion success against HTTP in India and Kazakhstan, 100% against HTTP and HTTPS in Iran, and 100% against SMTP in China, because none of these censors can reassemble TCP segments. The strategy is compatible with all 17 tested client OS versions when implemented without SYN+ACK payloads, making it the most broadly deployable server-side strategy found.

2020-bock-come §5.1, §5.2, §7, Table 2 defense

Between January 2017 and September 2018, ICLab conducted 53,906,532 measurements of 45,565 URLs across 62 countries and 234 ASes, detecting blocking of 3,602 unique URLs in 60 countries via DNS manipulation, TCP packet injection, and block page delivery. Iran blocked 20–30% of Alexa top-500 URLs — more than any other monitored country — while Saudi Arabia consistently blocked roughly 10%. The global trend in detected censorship shows a steady decrease, which the authors attribute to rising adoption of TLS and circumvention tools.

2020-niaki-iclab §V evaluation

ICLab's longitudinal monitoring detected censorship shifts coinciding with political events weeks before press coverage: Turkey's filtering rate rose from roughly 3% to 5% in late April 2017 — with blocked content shifting from pornography to news and political sites — ahead of a June 2017 constitutional referendum. India's censorship dropped from roughly 2% to 0.8% following a net neutrality announcement in late 2017, then partially recovered to roughly 1.5% after mid-2018 regulations clarified that illegal-content filtering would continue. Within the same country, different blocking techniques were applied to different content categories simultaneously (e.g., Turkey used DNS manipulation for illegal/streaming URLs but block pages for pornography and news).

2020-niaki-iclab §V-C, Table III evaluation

FilterMap identified 90 blockpage clusters from 90 vendors and actors across 103 countries using 374 million measurements from ~45,000 vantage points against 18,736 sensitive domains; 87 of these signatures were previously unknown. Commercial filters were detected in 36 out of 48 countries rated 'Not Free' or 'Partly Free' by Freedom House, with Fortinet alone present in at least 60 countries.

2020-raman-measuring §V deployment

A proposed HTTP censorship detection algorithm combining status-code comparison, response-length Z-score, HTML TF-vector cosine similarity, and redirect-hostname matching achieves F1 scores of 0.83 (censored) and 0.77 (uncensored), outperforming OONI (0.80 / 0.70), length-difference methods (0.70 / 0.66), and HTML-similarity methods (0.52 / 0.34) on a manually annotated set of 3,000 responses across six Indian ISPs.

2020-singh-india §4.3, Table 1 evaluation

All detected HTTP censorship events in BSNL and MTNL are attributable to infrastructure shared with or operated by Airtel and ACT, demonstrating that upstream ISP filtering creates collateral censorship visible to downstream networks. Isolated cross-ISP leakage was also observed: Vodafone's censorship notice appeared in 2 Jio tests, and Airtel's appeared in 2 Vodafone tests.

2020-singh-india §5.1.3 evaluation

Indian ISPs use heterogeneous and overlapping censorship mechanisms with no single technique common across all providers: DNS tampering (ACT, Airtel, BSNL, MTNL), HTTP header filtering (all six ISPs), and SNI inspection (Jio only). Individual ISPs such as ACT simultaneously apply DNS-only blocking to 233 sites, HTTP-only to 1,873 sites, and both to 1,615 sites.

2020-singh-india §5.1, Table 2 evaluation

Across six ISPs covering 98.82% of Indian internet subscribers, only 1,115 out of 4,033 tested blocked websites (27.64%) are blocked by all six ISPs simultaneously. ACT blocks 3,721 websites while Airtel blocks only 1,892, and 215 websites are blocked by exactly one ISP with no apparent legal basis.

2020-singh-india §5.2, Table 3 evaluation

Jio, India's largest ISP serving 49.7% of internet users, employs SNI inspection to block 2,951 out of 3,340 websites it censors — the first documented use of SNI-based blocking in India. No other of the six tested ISPs uses this technique.

2020-singh-india §5.1.4 evaluation

Evasion strategies are strongly censor-specific: TCB Teardown strategies that achieve 80–96% against the GFW fail completely (0%) against Kazakhstan's HTTPS MITM; India's Airtel is defeated uniquely by a 'Stutter Request' (duplicating the PSH/ACK and replacing IP length to 64) at 100% success, which scores only 3% against the GFW. Geneva converged on distinct species for each censor within 4–8 hours of live training.

2019-bock-geneva Table 1, §5.1–5.4 evaluation

Geneva's Segmentation species — fragmenting HTTP requests at the TCP layer without IP fragmentation, segment overlapping, or insertion packets — achieved 94–98% success against the GFW, 100% against India's Airtel ISP, and 100% against Kazakhstan's HTTPS MITM, making it the only strategy class effective across all three tested censors. These strategies require neither raw sockets nor root privilege.

2019-bock-geneva §5.2 Species 3: Segmentation defense

Censors in Russia, Iran, and India implement all three measured censorship techniques simultaneously: block pages, RST injection, and TTL anomalies. Iran and Cyprus censoring ASes censor content across many URL categories (including General News, Internet Services, Pornography, Gambling), while most other censoring ASes restrict only a few category types.

2017-cho-churn §4, Table 2 detection

Only 4 Indian ASes are needed to intercept >90% of AS-level paths from all Indian ASes to censored sites; 10 ASes cover ~95% of paths. Fewer than 5,000 edge routers spread across those ASes would suffice for nationwide IP filtering, with ~70% of those routers belonging to just two private ISPs (Bharti Airtel AS9498 and Tata Comm. AS4755).

2017-gosain-mending §4.1, Table 2, Table 3 evaluation

Any one of five Indian ASes — each needing control of only its BGP-speaking routers — can individually censor traffic for all ~896 Indian ASes via IP prefix hijacking. For example, AS4755 (Tata Comm.) fake advertisements can impact 955 ASes total (896 Indian + 41 foreign); AS9730 (Bharti Telesonic) requires as few as 7 edge routers to execute such an attack.

2017-gosain-mending §4.3, Table 4 evaluation

If India deployed centralized filtering at its key ASes, approximately 121,931 foreign-origin paths (1.15% of all Internet paths to censored sites worldwide) that transit Indian ASes would experience collateral blocking, affecting non-Indian users in Finland, Hong Kong, Singapore, Malaysia, the US, and elsewhere who have no connection to Indian censorship law.

2017-gosain-mending §4.1, §4.4 policy

Eight Indian ASes can collectively intercept 99.14% of AS-level paths connecting all Indian ASes to DNS resolvers, including GoogleDNS and OpenDNS; 4,906 routers across these 8 ASes suffice to launch DNS injection attacks covering the entire country. The same 8 ASes also appear among the 10 key ASes identified for IP filtering.

2017-gosain-mending §4.2 evaluation

India's federated censorship model — each ISP independently enforces government blacklists — produces dramatically inconsistent filtering: Airtel censored only 1 of 50 pornographic sites probed, while MTNL censored 45 of 50; Reliance Jio censored 0 sites across all 540 test URLs. A well-informed user can escape censorship through a judicious choice of ISP.

2017-gosain-mending §3.1, Table 1 evaluation

In 8,573 controlled testbed measurements across image, stylesheet, and script task types, Encore produced zero false negatives and a ~5% false positive rate in India (attributed to unreliable network connectivity rather than filtering), establishing that cross-origin browser probes reliably detect DNS, IP, and HTTP filtering under stable network conditions but require aggregation to control noise.

2015-burnett-encore §7.1 evaluation