Chainalysis Proposes Standards for Blockchain Tracing, Defining Two-Layer Attribution Structure for Cluster Analysis

Chainalysis Proposes Standards for Blockchain Tracing, Defining Two-Layer Attribution Structure for Cluster Analysis

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News Editor
2026-06-29 15:09:54
区块链分析公司 Chainalysis 于本周一发布区块链追踪标准化方案,围绕“集群”概念提出两层归因结构:第一层定义结构性图谱,第二层评估置信度。该方案参考了美国司法部对 Bitcoin Fog 联合创始人 Roman Sterlingov 一案的司法经验,法院此前已裁定 Chainalysis Reactor 工具的方法具备充分证据支持。方案同时指出,调查人员无法直接获取私钥,只能通过链上数据判断地址是否由同一实体控制,且追踪只能止步于交易所等托管实体,后续需执法机构通过传票进一步核实。此举旨在为执法和检察人员提供数据可用性保证,推动加密犯罪调查走向标准化。
blockchain tracingChainalysisaddress clusteringcrypto investigation standardsBitcoin Fogon-chain analysisjudicial evidencecrypto enforcement

Background: Chainalysis Releases Standardized Blockchain Tracing Framework

Blockchain analytics firm Chainalysis published a standardization proposal for blockchain analysis on Monday, June 29, 2026, aiming to provide investigators with a unified methodology for tracking transactions and identifying address clusters. Chief Scientist Jacob Illum stated that the framework is designed to ensure data reliability for law enforcement and prosecutors. This move marks a shift from empirical approaches toward methodological standardization in crypto crime investigation.

Technical Core: Cluster Analysis and Two-Layer Attribution Structure

The proposal centers on the concept of 'clusters,' which Chainalysis breaks down into finer units such as wallet fragments. The core framework consists of a two-layer attribution structure: the first layer defines a structural graph establishing relationships between addresses; the second layer evaluates the confidence level of that graph, assessing the reliability of those connections. Illum noted that investigators typically cannot access private keys and must rely solely on on-chain data to determine whether multiple addresses are controlled by the same entity. This layered approach helps present a clear chain of evidence in court, reducing interpretive ambiguity.

Judicial Validation: The Bitcoin Fog Case Sets a Precedent

Chainalysis drew on the experience of the U.S. Department of Justice's case against Roman Sterlingov, co-founder of Bitcoin Fog, in formulating this proposal. During that trial, the judge held hearings on whether Chainalysis's Reactor tool was sufficiently rigorous, ultimately ruling that the company's methodology was supported by adequate evidence. This judgment established a judicial precedent for Chainalysis's clustering techniques and provided empirical backing for the standardization effort. Bitcoin Fog, a long-running mixing service, involved extensive on-chain fund flow analysis, demanding high accuracy in address clustering.

Limitations and Law Enforcement Collaboration

Illum acknowledged the method's inherent limitations: Chainalysis can only trace funds to custodial entities like exchanges, but cannot directly identify individual users. Subsequent investigation still requires law enforcement to issue subpoenas or court orders for further verification. This means that although standardized on-chain tracing enhances the usability of blockchain data, it cannot replace traditional judicial investigative tools. For the crypto space, standardizing blockchain tracing is a critical step in combating financial crime, but must be balanced with privacy protection and practical enforcement needs.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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