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MoneroVis: Visual Analytics for Exploration and Traceability in a Privacy-Preserving Blockchain
Daniel Nikbakht Tehrani, Natkamon Tovanich

MoneroVis: Visual Analytics for Exploration and Traceability in a Privacy-Preserving Blockchain

Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Monero is a privacy-preserving cryptocurrency that obscures the sender, receiver, and amount of each transaction using ring signatures, stealth addresses, and RingCT. We present MoneroVis, a visual analytics system for exploring and analyzing such transaction data. The system supports multi-level analysis, from block and mempool monitoring to detailed inspection of transaction structures. By integrating network visualization with heuristic cues, MoneroVis enables users to infer likely true inputs and reason about transaction flows under uncertainty. We demonstrate the usability of our system through a real-world forensic case study and a user study with domain experts.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title MoneroVis: Visual Analytics for Exploration and Traceability in a Privacy-Preserving Blockchain
Author / Organization Daniel Nikbakht Tehrani, Natkamon Tovanich
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-162779
Original Source Link Visit Source Page on hal.science »