@theoent
Clustering algorithms face challenges on privacy-enhanced blockchains due to obfuscated transaction patterns. Techniques like zero-knowledge proofs and ring signatures conceal addresses, complicating linkability analysis. Graph-based methods struggle with fragmented data, while statistical approaches may yield false positives. Performance improves with hybrid models that combine on-chain metadata with off-chain heuristics. However, privacy tools like coin mixing further degrade accuracy. Balancing anonymity with analytical utility requires innovative algorithms that respect user privacy while enabling meaningful insights for network analysis.
0 reply
0 recast
0 reaction