Dakar: A CoinJoin forensic software
Year: 2026
Type: software-paper
Abstract: The tension between blockchain transparency and user privacy has driven innovation in mixing protocols creating a need for comprehensive analytical frameworks that can rigorously evaluate privacy properties across different implementations. Dakar is an open-source framework that unifies ingestion and provides reproducible classification and analysis of CoinJoin transactions on UTXO blockchains. Its graph database captures the relationships between mixing transactions while a web interface enables experimentation with built-in privacy tools such as CoinJoin transaction heuristics and similarity measures. By enabling researchers to compare and quantify CoinJoin activity across multiple protocols Dakar facilitates studies on privacy-enhancing techniques and supports the discovery and analysis of differences in CoinJoin implementations.
Source: SoftwareX
Institution: Norwegian University of Science and Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,200
OpenAlex ID: W7125212572