CRATOR

Links

• Open website arxiv.org

Tags

1. 
   Dark Web Architecture Study

   This arXiv paper proposes an end-to-end scalable architecture for early identification of new Tor sites and daily analysis of their content. It is built on an open source big data stack including Kubernetes, Kafka, Kubeflow and MinIO, discovering onion addresses across several sources, downloading HTML from Tor, deduplicating with MinHash LSH and categorizing with BERTopic modeling. In 93 days it identified 80,049 onion services and characterized 90% of them.

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2. 
   Onion Service Fingerprintability

   Study of whether website fingerprinting can distinguish and identify Tor onion-service traffic.

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3. 
   I2P Network Map

   This dataset maps the network layer of the Invisible Internet Project (I2P), collected using the SWARM-I2P framework, which deployed I2P routers as mapping agents. It documents over 50,000 nodes with metrics such as bandwidth, latency, and uptime, plus network traffic records and geographic distribution. Node identifiers were anonymized. Data is available in CSV and TXT formats on Zenodo, with mapping scripts on GitHub.

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4. 
   Onion Service Honeypot Study

   An arXiv paper measuring onion website discovery and Tor users' interests with honeypots. The authors deployed honeypot onion websites in March–April 2025 and seeded links via three channels to observe interaction events. They report that human users almost without exception originated from Ahmia.fi, and that the CSAM-themed honeypot drew markedly higher engagement than the others.

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5. 
   Tor CSAM Public Health Study

   Public-health research measuring harmful-content availability and searches on the Tor network.

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6. 
   Monitoring the Dark Web

   A working paper by John Schriner that focuses on how researchers monitor the Dark Web. It defines onion services and Tor and discusses tools for monitoring and securing onion services.

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