체인 분석
체인 분석은 블록체인 트랜잭션을 조사하여 자금 흐름을 추적하고, 엔티티를 식별하고, 불법 활동을 감지하고, 온체인 데이터에서 통찰력을 얻는 관행입니다.
Chain analysis (or blockchain analysis) encompasses techniques for extracting intelligence from public blockchain data. While addresses are pseudonymous, transaction patterns, clustering algorithms, and external data integration can often link addresses to real-world identities or entity types.
Key techniques include: address clustering (grouping addresses controlled by same entity), transaction graph analysis (following fund flows), heuristics (common spend, change detection), timing analysis, and integration with exchange KYC data. Machine learning increasingly automates pattern detection.
Major chain analysis providers include Chainalysis, Elliptic, and TRM Labs, serving law enforcement, exchanges, and compliance teams. Open-source alternatives and data platforms like Dune, Arkham, and Nansen provide varying levels of analysis capabilities.
Use cases span compliance (AML/KYC verification), investigations (tracking stolen funds, ransomware payments), market intelligence (whale tracking, fund flows), and research (DeFi metrics, network analysis). Privacy coins and mixing services attempt to defeat chain analysis but face increasing regulatory pressure.
graph LR
Center["체인 분석"]:::main
Pre_blockchain["blockchain"]:::pre --> Center
click Pre_blockchain "/terms/blockchain"
Pre_cryptocurrency["cryptocurrency"]:::pre --> Center
click Pre_cryptocurrency "/terms/cryptocurrency"
Rel_blockchain_forensics["blockchain-forensics"]:::related -.-> Center
click Rel_blockchain_forensics "/terms/blockchain-forensics"
Rel_transaction_tracing["transaction-tracing"]:::related -.-> Center
click Rel_transaction_tracing "/terms/transaction-tracing"
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🧒 5살도 이해할 수 있게 설명
모든 송금 내역이 적힌 공개 공책을 보고 탐정이 돈의 흐름을 쫓아 누가 누구에게 보냈는지 찾아내는 것과 같습니다.
🤓 Expert Deep Dive
그래프 이론과 데이터 마이닝을 활용합니다. 거래소나 믹서와 같은 동일한 엔티티에 속한 주소들을 클러스터링하여 리스크를 평가합니다.