Methods and means of deanonymization of transactions in blockchain

IF 0.2 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC Visnyk NTUU KPI Seriia-Radiotekhnika Radioaparatobuduvannia Pub Date : 2021-12-24 DOI:10.30837/rt.2021.4.207.04
V.V. Dubina, R. Oliynykov
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Abstract

This paper presents the results of a study of the properties of transactions formation and processing of in blockchain systems, aimed to identify existing barriers to the secure functioning of the network, processing and transmission of data between users, and to determine possible means of deanonymizing transactions. The anonymity of the network is one of the reasons for cryptocurrencies popularity and widespread use of blockchain technology. However, its presence is the basis for unscrupulous transactions, criminal actions of fraudsters and attacks on the system. Therefore, one of the main issues today is to ensure the reliable storage of information and the ability to track suspicious activity and timely protection of users in blockchain systems. The article examines known methods of increasing anonymity and maintaining confidentiality in modern networks based on the principles of blockchain technology, the threats arising from their use and the possible ways of tracking the actions of system participants. A comparative description of known tracking tools and possible means of de-anonymization of the history of completed transactions is given. As a result of the study, it was proposed to use a separate platform to analyze the network in real time, identify threats and their timely elimination, with the ability to visualize relationships and build address graphs as a result of tracking the entire chain of transactions. The tool makes it possible to implement a search among cryptocurrency addresses, blocks, transactions and tags, as well as to identify clusters associated with a particular address. The system analyzes the network in real time to gain insight into the statistics. Particular attention is paid to detecting so-called anomalies, i.e., the identification of transactions that deviate from standard structures. This allows identifying and tracking potentially malicious activities at an early stage.
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b区块链中交易去匿名化的方法和手段
本文介绍了区块链系统中交易形成和处理属性的研究结果,旨在确定网络安全运行、用户之间数据处理和传输的现有障碍,并确定可能的去匿名化交易手段。网络的匿名性是加密货币流行和区块链技术广泛使用的原因之一。然而,它的存在是肆无忌惮的交易、诈骗者的犯罪行为和对系统的攻击的基础。因此,当今的主要问题之一是确保区块链系统中信息的可靠存储和跟踪可疑活动的能力以及及时保护用户的能力。本文研究了基于区块链技术原理的现代网络中增加匿名性和保持机密性的已知方法,使用它们所产生的威胁以及跟踪系统参与者行为的可能方法。给出了已知跟踪工具和完成交易历史去匿名化的可能手段的比较描述。研究的结果是,建议使用一个单独的平台来实时分析网络,识别威胁并及时消除,并具有可视化关系和构建地址图的能力,从而跟踪整个交易链。该工具可以实现加密货币地址、区块、交易和标签之间的搜索,以及识别与特定地址相关的集群。该系统对网络进行实时分析,以了解统计数据。特别注意发现所谓的异常情况,即查明偏离标准结构的交易。这允许在早期阶段识别和跟踪潜在的恶意活动。
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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Visnyk NTUU KPI Seriia-Radiotekhnika Radioaparatobuduvannia
Visnyk NTUU KPI Seriia-Radiotekhnika Radioaparatobuduvannia ENGINEERING, ELECTRICAL & ELECTRONIC-
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