{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00212861","sets":["581:10433:10442"]},"path":["10442"],"owner":"44499","recid":"212861","title":["Bitcoin取引履歴の特徴量に基づくアドレス識別リスクの評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-09-15"},"_buckets":{"deposit":"5c2ad14a-13b8-4d4c-b152-3202fa0c2b99"},"_deposit":{"id":"212861","pid":{"type":"depid","value":"212861","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Bitcoin取引履歴の特徴量に基づくアドレス識別リスクの評価","author_link":["543729","543731","543732","543730"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Bitcoin取引履歴の特徴量に基づくアドレス識別リスクの評価"},{"subitem_title":"Study on Risk of Bitcoin Address to be Identified from the Features of Transaction History","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：Society 5.0を実現するコンピュータセキュリティ技術] Bitcoin，暗号通貨","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2021-09-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"明治大学大学院先端数理科学研究科"},{"subitem_text_value":"明治大学総合数理学部"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Advanced Mathematical Sciences, Meiji University","subitem_text_language":"en"},{"subitem_text_value":"School of Interdisciplinary Mathematical Sciences, Meiji University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/212861/files/IPSJ-JNL6209012.pdf","label":"IPSJ-JNL6209012.pdf"},"date":[{"dateType":"Available","dateValue":"2023-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL6209012.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"370f08a2-756e-4144-b67c-d13b38f6d30d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松本, 寛輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"菊池, 浩明"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroki, Matsumoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroaki, Kikuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Bitcoinでは，プライバシ保護の観点からアドレスの使用を1度限りとし，ユーザは自分のアドレスを明かさないようにすることが推奨されている．しかしながら，取引に利用されているアドレスの中には再利用されているものも多く，送金を行った取引情報から特徴量を学習することで同一ユーザが所有するアドレスの識別リスクを分析した研究成果が報告されている．本研究では，Bitcoinの受け取り取引に着目した新たな2つのアドレス識別手法を提案し，識別精度を明らかにすることを目的とする．Bitcoinの取引情報を用いて識別実験を実施し，アドレスの取引回数と利用目的の観点による精度の変化を評価する．実験結果より，提案手法のアドレス識別精度は既存手法を利用した識別精度よりも統計的に有意な水準で高いことが示された．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Crypto-currency such as Bitcoin suggests a use of one-time address for the privacy enhancement. However, addresses were often reused, several studies reported that learning transaction history has a risk of address identification. Our study purposes two new methods that focus on features related output address. Our study aims to evaluate risk to be identified by the proposed methods with respect to on the number of transactions per address and the kinds of address usages. In this paper, our experiment shows that our method identifies addresses more accurately than the conventional method in statistically significant level.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1498","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1487","bibliographicIssueDates":{"bibliographicIssueDate":"2021-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"62"}]},"relation_version_is_last":true,"item_2_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20729/00212755","subitem_identifier_reg_type":"JaLC"}]},"weko_creator_id":"44499"},"id":212861,"updated":"2025-01-19T17:15:04.142848+00:00","links":{},"created":"2025-01-19T01:13:47.296579+00:00"}