{"created":"2025-01-19T01:45:25.988255+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240949","sets":["6164:6165:6462:11854"]},"path":["11854"],"owner":"11","recid":"240949","title":["ブラウザーフィンガープリンティングによるルールベースを用いた端末推定"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-10-15"},"_buckets":{"deposit":"0457239b-d1ca-418e-96a1-c8091ea68177"},"_deposit":{"id":"240949","pid":{"type":"depid","value":"240949","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ブラウザーフィンガープリンティングによるルールベースを用いた端末推定","author_link":["662393","662394","662395","662396","662397","662398"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ブラウザーフィンガープリンティングによるルールベースを用いた端末推定","subitem_title_language":"ja"},{"subitem_title":"Device Estimation Using Rule-Based Browser Fingerprinting","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ブラウザフィンガープリンティング，端末推定，ルールベース","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2024-10-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"明治大学大学院"},{"subitem_text_value":"明治大学"},{"subitem_text_value":"明治大学／レンジフォース株式会社"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Meiji University","subitem_text_language":"en"},{"subitem_text_value":"Meiji University","subitem_text_language":"en"},{"subitem_text_value":"Meiji University / Rangeforce, Inc.","subitem_text_language":"en"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"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/240949/files/IPSJ-CSS2024203.pdf","label":"IPSJ-CSS2024203.pdf"},"date":[{"dateType":"Available","dateValue":"2026-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSS2024203.pdf","filesize":[{"value":"506.5 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"07ad5fcc-a3ae-471e-9c6e-76bdd1797b33","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"宇藤, 龍世"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小玉, 直樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"齋藤, 孝道"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryuse, Uto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naoki, Kodama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takamichi, Saito","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Webサイトにおいて同一人物が不正行為を行う事例が増加している．具体例として，異なるメールアドレスを用いたアカウントの複数登録や，多数の不正なログイン試行が挙げられる．\nこれらの防止策として，ブラウザフィンガープリンティングを用いて端末推定をする方法が存在する．本研究では，ブラウザフィンガープリンティングを利用したルールベースによる端末推定アルゴリズムを新しく提案し，実験を行った．アルゴリズム作成においては，実用化に向けて欠損値が少ない特徴点を利用した．その結果，85％の精度で端末推定が可能であり，1端末あたり平均0.11秒で推定できることを確認した．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, there has been an increasing number of cases of fraudulent activity on websites by the same individuals. Specific examples include cases where multiple accounts are created using different email addresses and multiple unauthorised login attempts. As a preventive measure, a method exists that uses browser fingerprints to estimate the terminal used. In this study, a novel rule-based device estimation algorithm using browser fingerprints is proposed and experiments are conducted to evaluate its effectiveness. In developing the algorithm, the focus was on using features with low missing data to increase practicality. The results showed that device estimation was possible with an accuracy of 85\\% and an average time of 0.11 seconds per device.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1536","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2024論文集"}],"bibliographicPageStart":"1529","bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-15","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":240949,"updated":"2025-03-06T05:58:14.070565+00:00","links":{}}