Directory
Published directory entries matching your search.
An arXiv paper on digging deeper into hidden web databases limited by the top-k output constraint. It presents the GetNext meta-algorithm, which retrieves the next ranked tuple through a restrictive interface without prior knowledge of the ranking function, and algorithms that generate and execute multiple reformulated queries. Theoretical analysis and experiments over synthetic and real-world databases are reported.
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.
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.
A blog from DarkOwl whose analysts publish insights on darknet intelligence, threat detection and cybersecurity trends. Posts include a darknet marketplace snapshot series and articles on breach data and ransomware. The blog states it offers news, research and resources for enterprises and security professionals.
Analyst reporting on cybercrime marketplaces, underground actors, ransomware and stolen-data trends.
An arXiv paper presenting a large-scale analysis of the Tor network using a crawler called Mimir, which collects and visits linked content. The authors report a dataset of pages from more than 25k sites and examine network topology, replicated content and content types.
Insikt Group is the research unit of Recorded Future. It conducts research on cybercrime, state-sponsored threats and global issues, and supplies analyst-validated data, analytics and cyber and geopolitical intelligence to the Recorded Future Platform. Its resources include intelligence reports, threat briefings and information on threat actors.
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.
