Europol and EMCDDA report on darknet drug markets, policy implications and research evidence.
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.
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.
DARPA Memex is a program seeking to develop next-generation search technologies for discovering, organizing and presenting domain-specific content. It aims to extend search beyond a centralized model to the deep web and nontraditional content. The program initially plans to address fighting human trafficking. It is specifically not interested in deanonymizing servers, attributing identity to IP addresses, or accessing non-public information.
Public-health research measuring harmful-content availability and searches on the Tor network.
CRATOR is a proposed dark web crawler described in an arXiv paper. It is designed to extract pages that handle security protocols such as captchas, using seed URL lists, link analysis and scanning to discover content, with user-agent rotation and proxy usage for anonymity. The authors report evaluation using coverage, performance and robustness metrics, and suggest threat intelligence, cybersecurity and online investigation applications.
A Tor Project page that summarizes resources the project provides for research on improving Tor design, monitoring the Tor network, and studying attacks and defenses for anonymous communication systems. It points researchers to data collection, analysis guidance and measurement and attack tools.
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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.
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.
DARPA Memex is a program seeking to develop next-generation search technologies for discovering, organizing and presenting domain-specific content. It aims to extend search beyond a centralized model to the deep web and nontraditional content. The program initially plans to address fighting human trafficking. It is specifically not interested in deanonymizing servers, attributing identity to IP addresses, or accessing non-public information.
Public-health research measuring harmful-content availability and searches on the Tor network.
CRATOR is a proposed dark web crawler described in an arXiv paper. It is designed to extract pages that handle security protocols such as captchas, using seed URL lists, link analysis and scanning to discover content, with user-agent rotation and proxy usage for anonymity. The authors report evaluation using coverage, performance and robustness metrics, and suggest threat intelligence, cybersecurity and online investigation applications.
A Tor Project page that summarizes resources the project provides for research on improving Tor design, monitoring the Tor network, and studying attacks and defenses for anonymous communication systems. It points researchers to data collection, analysis guidance and measurement and attack tools.
