{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00237158","sets":["1164:6389:11481:11662"]},"path":["11662"],"owner":"44499","recid":"237158","title":["ダークウェブ上のハイパーリンクを用いた隠語分析の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-07-15"},"_buckets":{"deposit":"52de7188-1b50-4be3-b09d-c642a247b8d3"},"_deposit":{"id":"237158","pid":{"type":"depid","value":"237158","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ダークウェブ上のハイパーリンクを用いた隠語分析の検討","author_link":["648633","648626","648627","648628","648631","648632","648629","648630"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ダークウェブ上のハイパーリンクを用いた隠語分析の検討"},{"subitem_title":"Toward Dark Jargon Analysis using Hyperlinks on the Dark 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Hayashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ken, Shiozawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Soramichi, Akiyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Marie, Katsurai","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628305","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8671","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"匿名化ネットワークを実現するダークウェブでは，麻薬や銃器の不正取引，サイバー攻撃の委託，個人の機密情報の販売など，違法な活動やサービスの取引が問題となっている．世界中の法執行機関やセキュリティ会社，学術機関がこの問題に取り組んでいるが，効果的な調査手法がまだ確立されておらず，調査には時間がかかるという課題がある．その原因の一つに，監視の目をかいくぐるための隠語の存在が挙げられる．そこで本稿では，ダークウェブのリンク情報に着目した隠語の検出手法を提案する．具体的には，ダークウェブ上の HTML ファイルからアンカータグを収集し，それに囲まれたテキストとリンク先を参照することで，任意の犯罪関連用語と関係の強い単語集合を抽出する．ダークウェブ内の約 25 万件の HTML ファイルを用いた実験では，提案手法がベースライン手法に比べて効果的に隠語を発見できることを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告セキュリティ心理学とトラスト（SPT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"37","bibliographicVolumeNumber":"2024-SPT-56"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":237158,"updated":"2025-01-19T08:58:32.915514+00:00","links":{},"created":"2025-01-19T01:39:37.857534+00:00"}