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|Title:||Analysis of multi-input multi-output transactions in the Bitcoin network||Authors:||Phetsouvanh, Silivanxay
|Keywords:||Science::Mathematics||Issue Date:||2021||Source:||Phetsouvanh, S., Datta, A. & Oggier, F. (2021). Analysis of multi-input multi-output transactions in the Bitcoin network. Concurrency and Computation: Practice and Experience, 33(1), e5629-. https://dx.doi.org/10.1002/cpe.5629||Journal:||Concurrency and Computation: Practice and Experience||Abstract:||Distinct transactions among diﬀerent and unrelated users are combined together to create a single Bitcoin transaction (mixing transaction) to obfuscate the relationships among the actual *Anwitaman Datta Email: participants (more speciﬁcally, the wallet addresses used for the transactions). We consider multi- firstname.lastname@example.org input multi-output transactions with at least two inputs and three outputs as proxy, to analyze Present Address four characteristic periods of ∼50 days each, representing periods before the introduction of School of Computer Science and Engineering mixing, in its early days, during its growth, and after the volume of such multi-input multi-output Blk N4 (oﬃce: 02A-18), North Spine Nanyang Avenue, Nanyang Technological University Singapore 639798 transactions became more or less stabile. Structural properties and characteristics of the transac- tion and wallet address networks are computed and compared, through standard tools, but also via the introduction of two novel techniques that provide indicators of mixing-like behaviors: (i) an entropy characterization to detect abnormally uniform inputs and/or outputs, and (ii) a con- nected component analysis of subgraphs formed by only multi-input multi-output transactions (showing cascades of such transactions). The contributions of this exploratory Bitcoin network analysis paper can thus be seen as two-fold. At a macroscopic level, the growth and stabilization periods are shown to stand out with respect to most considered metrics, while at a microscopic level, chains of multi-input multi-output transactions, and transactions with outlier behavior in terms of input/output entropies are identiﬁed for further investigation.||URI:||https://hdl.handle.net/10356/154816||ISSN:||1532-0626||DOI:||10.1002/cpe.5629||DOI (Related Dataset):||10.21979/N9/9NK2DD||Rights:||This is the peer reviewed version of the following article: Phetsouvanh, S., Datta, A. & Oggier, F. (2021). Analysis of multi-input multi-output transactions in the Bitcoin network. Concurrency and Computation: Practice and Experience, 33(1), e5629-, which has been published in final form at https://doi.org/10.1002/cpe.5629. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Journal Articles|
SPMS Journal Articles
Updated on Jun 23, 2022
Updated on Jun 23, 2022
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