Analyzing the peeling chain patterns on the Bitcoin blockchain

IF 2 4区医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Forensic Science International-Digital Investigation Pub Date : 2023-10-01 DOI:10.1016/j.fsidi.2023.301614

Yanan Gong, Kam Pui Chow, Siu Ming Yiu, Hing Fung Ting

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Abstract

Bitcoin is a widely used decentralized cryptocurrency. The proportion of Bitcoin transactions used for illegal activities is increasing. Mixing services are commonly applied to enhance anonymity and make transaction records more challenging to follow and analyze. The current research on peeling chains is generally based on heuristic algorithms to identify change addresses. However, due to the characteristics and limitations of the Bitcoin blockchain, there is no such ground truth to ensure the accuracy of each derived change address. This research analyzes the peeling chain patterns based on self-change addresses. The use of self-change addresses implies that the input address and the address used for receiving the change are controlled by the same entity. Also, each chain's transaction details and generated chain parameters are further verified for more precise results. Combining the two methods ensures the accuracy of the extracted peeling chains to some extent. And the corresponding behavior pattern of the extracted chains is studied.

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分析比特币区块链上的剥链模式

比特币是一种广泛使用的去中心化加密货币。用于非法活动的比特币交易比例正在增加。混合服务通常用于增强匿名性，并使交易记录更难以跟踪和分析。目前对剥离链的研究一般是基于启发式算法来识别变更地址。然而，由于比特币区块链的特点和局限性，没有这样的基础真理来确保每个衍生的更改地址的准确性。本研究分析了基于自变地址的剥离链模式。使用自更改地址意味着输入地址和用于接收更改的地址由同一实体控制。此外，每条链的交易细节和生成的链参数都被进一步验证，以获得更精确的结果。两种方法的结合在一定程度上保证了剥离链提取的准确性。并研究了所提取链的相应行为模式。

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