Skip to content
OpenTrain AIFor AI Companies

Oblivious DNS over HTTPS (ODoH): A Practical Privacy Enhancement to DNS

Sudheesh Singanamalla, Suphanat Chunhapanya, Jonathan Hoyland, Marek Vavruša, Tanya Verma +5 morePublished Oct 1, 2021
Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
2
Review before use

Abstract

Domain fit: Niche / domain-specific · No strong AI-core implementation/artifact signals were detected from current providers.

The Internet’s Domain Name System (DNS) responds to client hostname queries with corresponding IP addresses and records. Traditional DNS is unencrypted and leaks user information to on-lookers. Recent efforts to secure DNS using DNS over TLS (DoT) and DNS over HTTPS (DoH) have been gaining traction, ostensibly protecting DNS messages from third parties. However, the small number of available public large-scale DoT and DoH resolvers has reinforced DNS privacy concerns, specifically that DNS operators could use query contents and client IP addresses to link activities with identities. Oblivious DNS over HTTPS (ODoH) safeguards against these problems. In this paper we implement and deploy interoperable instantiations of the protocol, construct a corresponding formal model and analysis, and evaluate the protocols’ performance with wide-scale measurements. Results suggest that ODoH is a practical privacy-enhancing replacement for DNS.

Results and benchmarks

Freshness tier: cold
The Internet’s Domain Name System (DNS) responds to client hostname queries with corresponding IP addresses and records.

Implementation

No direct implementation yet

Maintained implementation evidence is not confirmed for this paper yet.

Use the implementation status and reproduction sections for the current action plan.

Implementation evidence summary
Confidence: low

Recommendation evidence is currently too limited for a maintained-repo choice. Use Implementation Status and Reproduction Path for a practical baseline plan.

Reproduction risks
  • Estimate is based on paper-only reproduction flow

Reproduction readiness

Time to first repro: days
Last checked: Aug 23, 2026

No repo

No verified implementation available

  • No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.

Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

Hugging Face artifacts

No trustworthy direct or curated related Hugging Face artifacts were found yet. Use targeted searches to quickly locate candidate models, datasets, and demos.

Tip: start with models, then check datasets and spaces if you need evaluation data or demos.

Research context

31

Citations

40

References

Tasks

Domain Name System, Computer science, Round-robin DNS, The Internet, Name server, Protocol (science), Computer network, World Wide Web

Methods

None detected

Domains

Computer security, Artificial Intelligence

Explore similar papers

Jump to Paper2Code search queries derived from this paper's research context.