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