Leveraging complex event processing for monitoring and automatically detecting anomalies in Ethereum-based blockchain networks

IF 4.1 2区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computer Standards & Interfaces Pub Date : 2024-06-22 DOI:10.1016/j.csi.2024.103882

Jesús Rosa-Bilbao , Juan Boubeta-Puig , Jesús Lagares-Galán , Mark Vella

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引用次数: 0

Abstract

Blockchain is a relatively recent technology that provides immutability, traceability and transparency of information, thus building trust in the digital society. Blockchain networks generate a large amount of logs which capture and describe data flowing through the network in the form of transactions, blocks and events. Monitoring these blockchain data from the off-chain world is needed to detect anomalies with the aim of mitigating the risks that may arise as a result of using blockchain technology. However, the real-time monitoring of these logs by off-chain systems has become a challenge from the beginning of 2018 when the blockchain networks reached a high number of daily transactions. In this paper, we propose a portable, maintainable and easily configurable architecture integrating blockchain and complex event processing technologies that allows for both the real-time monitoring of logs generated in Ethereum Virtual Machine (EVM)-compatible blockchain networks and the automatic detection of anomalies in these networks by matching event patterns. This architecture was tested by using vast amounts of blockchain data already publicly registered in Ethereum and Polygon networks. The results demonstrate that the proposed architecture is able to automatically detect anomalies which occur in different blockchain networks, making analytics of blockchain data possible by off-chain systems.

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利用复杂事件处理监控和自动检测基于以太坊的区块链网络中的异常情况

区块链是一种相对较新的技术，可提供信息的不可更改性、可追溯性和透明度，从而在数字社会中建立信任。区块链网络会生成大量日志，以交易、区块和事件的形式捕捉和描述流经网络的数据。需要从链外世界监控这些区块链数据，以检测异常情况，从而降低使用区块链技术可能产生的风险。然而，从 2018 年初开始，当区块链网络达到很高的日交易量时，链外系统对这些日志的实时监控就成为了一项挑战。在本文中，我们提出了一种集成了区块链和复杂事件处理技术的可移植、可维护、易配置的架构，既可以实时监控以太坊虚拟机（EVM）兼容的区块链网络中生成的日志，又可以通过匹配事件模式自动检测这些网络中的异常情况。通过使用以太坊和多边形网络中已公开注册的大量区块链数据，对该架构进行了测试。结果表明，所提出的架构能够自动检测不同区块链网络中出现的异常情况，从而使链外系统对区块链数据进行分析成为可能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Standards & Interfaces 工程技术-计算机：软件工程

CiteScore

11.90

自引率

16.00%

发文量

审稿时长

6 months

期刊介绍： The quality of software, well-defined interfaces (hardware and software), the process of digitalisation, and accepted standards in these fields are essential for building and exploiting complex computing, communication, multimedia and measuring systems. Standards can simplify the design and construction of individual hardware and software components and help to ensure satisfactory interworking. Computer Standards & Interfaces is an international journal dealing specifically with these topics. The journal • Provides information about activities and progress on the definition of computer standards, software quality, interfaces and methods, at national, European and international levels • Publishes critical comments on standards and standards activities • Disseminates user''s experiences and case studies in the application and exploitation of established or emerging standards, interfaces and methods • Offers a forum for discussion on actual projects, standards, interfaces and methods by recognised experts • Stimulates relevant research by providing a specialised refereed medium.