Multi-Class Bitcoin-Enabled Service Identification Based on Transaction History Summarization
Multi-Class Bitcoin-Enabled Service Identification Based on Transaction History Summarization
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DOI：
10.1109/cybermatics_2018.2018.00208
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Kentaroh Toyoda;T. Ohtsuki;P. Mathiopoulos
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文献类型：
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作者：
Kentaroh Toyoda;T. Ohtsuki;P. Mathiopoulos
近年来，比特币已被用于许多服务和目的，例如赌博，市场，甚至作为投资骗局。为了弄清楚比特币是如何使用的，确定比特币地址运行的是什么样的服务非常重要。在本文中，我们提出了一个多类服务识别方案在比特币的基础上，新的交易历史摘要。我们的新奇在于提出了如何检索交易历史以及如何处理检索到的交易以更好地识别。当给定一个比特币地址时，其交易历史的特征被计算为特征。然后，将计算出的特征集输入到监督分类器中，并在七个主要服务中识别出给定比特币地址所操作的服务：（i）交换，（ii）水龙头，（iii）赌博，（iv）投资骗局，（v）市场，（vi）矿池和（vii）混合器。据我们所知，我们是第一个提出多类识别。我们通过对2009年1月至2017年2月期间用于七种服务/目的的26，000多个比特币地址的性能评估表明，我们的方案达到了72%的准确率。
In recent years, Bitcoin has been used for many services and purposes, e.g. gambling, marketplace, but also even as an investment scam. In order to clarify how Bitcoin is used, it is in great importance to identify what kind of services are operated by Bitcoin addresses. In this paper, we propose a multiclass service identification scheme in Bitcoin based on novel transaction history summarization. Our novelty is to propose how transaction history is retrieved and how the retrieved transactions are processed for better identification. When a Bitcoin address is given, the characteristics of its transaction history is calculated as features. Then, the set of calculated features is fed into a supervised classifier and the services operated by the given Bitcoin addresses are identified among seven major services: (i) exchange, (ii) faucet, (iii) gambling, (iv) investment scam, (v) marketplace, (vi) mining pool, and (vii) mixer. To our knowledge, we are the first to propose a multi-class identification. We show that our scheme achieves 72 % of accuracy through performance evaluation with more than 26,000 Bitcoin addresses that have been used for seven services/purposes from Jan. 2009 to Feb. 2017.