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The Bisq decentralised exchange: on the privacy cost of participation

blockchain(Research and Applications) 2022年第1期3卷 13-22页

作者： Liam Hickey Martin Harrigan Institute of Technology CarlowR93 V960Ireland

The Bisq Trade Protocol and the Bisq DAO(decentralised autonomous organisation)are core components of Bisq,a decentralised cryptocurrency *** Bisq Trade Protocol systematises the peer-to-peer trading of Bitcoin for other currencies and the Bisq DAO decentralises the governance and finance functions of the entire ***,by following the Bisq Trade Protocol and interacting with the Bisq DAO,participants necessarily publish data to the Bitcoin blockchain and broadcast additional data to the Bisq peer-to-peer *** examine the privacy cost to participants in sharing this ***,we use novel address clustering heuristics to construct the one-to-many mappings from participants to addresses on the Bitcoin blockchain and augment the address clusters with data stored within the Bisq peer-to-peer *** describe address clustering heuristics for both the Bisq Trade Protocol and the Bisq *** show that the heuristics aggregate activity performed by each participant:trading,voting,transfers,*** identify instances where participants are operating under multiple aliases,some of which are real-world *** identify the dominant transactors and their role in a two-sided *** conclude with suggestions to better protect the privacy of participants in the future.

关键词： Decentralised exchange blockchain analysis Decentralised governance Cryptocurrency Privacy

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The“Bitcoin Generator”Scam

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blockchain(Research and Applications) 2022年第3期3卷 70-88页

作者： Emad Badawi Guy-Vincent Jourdan Iosif-Viorel Onut Faculty of Engineering University of OttawaOttawaON K1N 6N5Canada IBM Centre for Advanced Studies OttawaON K1R 7Y6Canada

The“Bitcoin Generator Scam”(BGS)is a cyberattack in which scammers promise to provide victims with free cryptocurrencies in exchange for a small mining *** this paper,we present a data-driven system to detect,track,and analyze the *** works as follows:we first formulate search queries related to BGS and use search engines to find potential instances of the *** then use a crawler to access these pages and a classifier to differentiate actual scam instances from benign ***,we automatically monitor the BGS instances to extract the cryptocurrency addresses used in the scam.A unique feature of our system is that it proactively searches for and detects the scam ***,we can find addresses that have not yet received any *** data collection project spanned 16 months,from November 2019 to February *** uncovered more than 8,000 cryptocurrency addresses directly associated with the scam,hosted on over 1,000 ***,these addresses have received around 8.7 million USD,with an average of 49.24 USD per *** 70%of the active addresses that we are capturing are detected before they receive any transactions,that is,before anyone is *** also present some post-processing analysis of the dataset that we have captured to aggregate attacks that can be reasonably confidently linked to the same attacker or *** system is one of the first academic feeds to the APWG eCrime Exchange *** has been actively and automatically feeding the database since November 2020.

关键词： Cryptocurrency Scam analysis Cyberattack Fraud detection Bitcoin blockchain analysis Data mining

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