以太坊交易图分析

Wren Chan, Aspen Olmsted
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引用次数: 53

摘要

由于分散控制和匿名承诺,比特币和以太坊等加密货币平台变得越来越受欢迎。以太坊特别强大,因为它支持通过图灵完整脚本语言和代表可替代交易商品的数字令牌实现的智能合约。有必要了解去匿名化是否可行,以量化匿名的承诺。加密货币越来越多地被用于丝绸之路(Silk Road)等在线黑市,以及CryptoLocker和WannaCry等勒索软件。在本文中,我们提出了一个模型,用于将以太坊的交易持久化到图形数据库Neo4j中。我们建议利用图计算或分析来处理持久化到图数据库中的事务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ethereum transaction graph analysis
Cryptocurrency platforms such as Bitcoin and Ethereum have become more popular due to decentralized control and the promise of anonymity. Ethereum is particularly powerful due to its support for smart contracts which are implemented through Turing complete scripting languages and digital tokens that represent fungible tradable goods. It is necessary to understand whether de-anonymization is feasible to quantify the promise of anonymity. Cryptocurrencies are increasingly being used in online black markets like Silk Road and ransomware like CryptoLocker and WannaCry. In this paper, we propose a model for persisting transactions from Ethereum into a graph database, Neo4j. We propose leveraging graph compute or analytics against the transactions persisted into a graph database.
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