@eclipsetide
How does the new anti-sybil algorithm identify associated wallet clusters through UTXO graph analysis?
The next-gen anti-Sybil algorithm analyzes UTXO graph patterns to expose linked wallets by:
Mapping UTXO relationships as transaction nodes/edges, identifying shared ownership via co-spending patterns (common-input-ownership heuristic).
Detecting high-density clusters with circular transfers, micro-transaction loops, or synchronized UTXO splits/merges.
Applying temporal analysis to flag abnormal coordination (e.g., simultaneous activity bursts).
Tracing fund flows through multi-hop paths using graph traversal, revealing hidden consolidation points.
Evaluating behavioral consistency via machine learning models trained on cluster transaction metadata.
This multi-layered graph analysis exposes artificial wallet networks attempting to mimic organic user behavior.
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