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Bitcoin Multi-Layer Heuristic Using Off-Chain Data
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오프체인 데이터를 활용한 비트코인 다계층 휴리스틱

논문 기본 정보

Type
Academic journal
Author
Minjae Kim (고려대학교) Jinhee Lee (고려대학교) Junbeom Hur (고려대학교)
Journal
Korean Institute of Information Scientists and Engineers KIISE Transactions on Computing Practices Vol.28 No.1 KCI Accredited Journals
Published
2022.1
Pages
63 - 67 (5page)
DOI
10.5626/KTCP.2022.28.1.63

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Bitcoin Multi-Layer Heuristic Using Off-Chain Data
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Bitcoin, which is used for illegal transactions in the Darknet market, has anonymity. To address this issue, clustering heuristics based on the characteristics of bitcoin transactions have been proposed earlier, but the proposed heuristics have found that addresses in one wallet are still not clustered. To eliminate these false negatives, we propose that off-chain data, which is non-chain data, is available as well as the nature of bitcoin transactions. In order to find the characteristics of illegal markets, we collected data from November 2019 to September 2020 on the Silk Road 4, which has been actively engaged in illegal transactions, as off-chain data. Among the data released on the Silk Road 4, it was found that the review data had bitcoin values and transaction dates. We found that 31.68% of the data we collected could be matched into real Bitcoin transactions, and we suggested that the small clusters containing these addresses could be combined into Silk Road 4 clusters.
#블록체인 #비트코인 #클러스터링 #익명성 #blockchain #bitcoin #clustering #anonymity

Contents

요약
Abstract
1. 서론
2. 불법 마켓 분석
3. 매치 주소 정의 및 휴리스틱
4. 매치 주소 및 휴리스틱 정확도
5. 결론 및 향후 연구
References

References (8)

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S. Nakamoto, "Bitcoin: A peer-to-peer electronic cash system," Decentralized Business Review: 21260, 2008. google schola S. Foley, J. R. Karlsen, and T. J. Putniņš, "Sex, drugs, and bitcoin: How much illegal activity is financed through cryptocurrencies?," The Review of Financial Studies, 32.5, pp. 1798-1853. 2019. google schola Silk Road 4. http://silkroad7rn2puhj.onion/ S. Meiklejohn, M. Pomarole, G. Jordan, K. Levchenko, D. McCoy, G. M. Voelker, and S. Savage, "A fistful of bitcoins: characterizing payments among men with no names," Proc. of the 2013 conference on Internet measurement conference, 2013. google schola J. D. Nick, Data-driven de-anonymization in Bitcoin. MS thesis, ETH-Zürich, 2015. google schola

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