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Paper Abstract and Keywords
Presentation 2024-03-14 14:05
Classification Method for Blockchain Addresses Considering Address Clusterings
Tomohiro Ojika, Shin Morishima (Toyama Prefectural Univ) LOIS2023-65
Abstract (in Japanese) (See Japanese page) 
(in English) Blockchain is widely used for multiple applications because of its different features from existing finance, but due to its anonymity, it causes illegal money flows such as money laundering.
Address classification methods are proposed to prevent from the illegal flows by tracking the flow of funds.
In Blockchain, an address cluster, which is a set of addresses created by a user, is a substantial trading entity.
However, the existing methods classify addresses by using the features of each address and do not consider the address cluster.
In this paper, we propose an address clustering method using characteristics of exchanges, which are highly influential users, and a classification method considering features of the address clusters.
As a result of evaluations comparing the proposed and existing methods, the proposed method improves the accuracy by 9.7% in 5-categories classification and 14.0% in 2-categories classification, which is exchange category or not.
Keyword (in Japanese) (See Japanese page) 
(in English) Blockchain / Address classification / Address clustering / Machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 429, LOIS2023-65, pp. 102-107, March 2024.
Paper # LOIS2023-65 
Date of Issue 2024-03-06 (LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2023-65

Conference Information
Committee LOIS  
Conference Date 2024-03-13 - 2024-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Pref Danjyo-Kyoudou-Sankaku Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2024-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification Method for Blockchain Addresses Considering Address Clusterings 
Sub Title (in English)  
Keyword(1) Blockchain  
Keyword(2) Address classification  
Keyword(3) Address clustering  
Keyword(4) Machine learning  
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1st Author's Name Tomohiro Ojika  
1st Author's Affiliation Toyama Prefectural University (Toyama Prefectural Univ)
2nd Author's Name Shin Morishima  
2nd Author's Affiliation Toyama Prefectural University (Toyama Prefectural Univ)
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Speaker Author-1 
Date Time 2024-03-14 14:05:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2023-65 
Volume (vol) vol.123 
Number (no) no.429 
Page pp.102-107 
#Pages 6 
Date of Issue 2024-03-06 (LOIS) 

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