Explainable Profiling Attacks on Ethereum Blockchain Users Based on Volumetric and Temporal Behaviour

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dc.contributor.authorKılıç, Yasir
dc.contributor.authorInan, Ali
dc.date.accessioned2025-01-06T17:37:45Z
dc.date.available2025-01-06T17:37:45Z
dc.date.issued2024
dc.description32nd IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2024 -- Tarsus Univ Campus, Mersin, TURKEY
dc.description.abstractOne of many different application areas of the blockchain technology is crypto-currencies. Products like Bitcoin and Solana provide financial services that are unmediated, distributed and anonymous. Among various blockchains, Ethereum stands out due to its support of smart contracts. However, softly authenticated transactions occuring on such platforms facilitate crimes like money laundering and sales of illegal items/services. Denanonymization, over blockchains, refers to identifying distinct accounts of the same person and is used for tracking illegal trafficking of cryptocurrencies. In this study, our purpose is to increase the rate of success of deanonymization and to support explainable approaches. Towards this aim, we imitate blockchain analysts and propose 19 novel heuristic features that are volumetric and temporal. Empirical experiments indicate that temporal features increase the attack success rate by 39%. Shapley values adapted from the cooperative game theory field support this finding.
dc.description.sponsorshipIEEE,IEEE Turkey,Koluman & Berdan,Loodos,Figes,Turkcell,Yildirim Elect
dc.identifier.doi10.1109/SIU61531.2024.10600976
dc.identifier.isbn979-8-3503-8897-8
dc.identifier.isbn979-8-3503-8896-1
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85200866265
dc.identifier.scopusquality0
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600976
dc.identifier.urihttps://hdl.handle.net/20.500.14669/2340
dc.identifier.wosWOS:001297894700204
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof32nd Ieee Signal Processing and Communications Applications Conference, Siu 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectEthereum blockchain
dc.subjectdeanonymization
dc.subjectfinance
dc.subjectgame theory
dc.subjectexplainable artificial intelligence (XAI)
dc.titleExplainable Profiling Attacks on Ethereum Blockchain Users Based on Volumetric and Temporal Behaviour
dc.title.alternativeEthereum Blok Zinciri Kullanıcılarına Yönelik Hacimsel ve Zamansal Davranışa Dayalı Açıklanabilir Profilleme Saldırıları
dc.typeConference Object

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