{"created":"2025-01-19T01:34:34.325836+00:00","updated":"2025-01-19T10:09:39.265903+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233245","sets":["1164:3925:11477:11523"]},"path":["11523"],"owner":"44499","recid":"233245","title":["自然言語処理を用いたスパムメールフィルタリング手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-11"},"_buckets":{"deposit":"265a1f2f-bad2-4232-bb22-94da6308e584"},"_deposit":{"id":"233245","pid":{"type":"depid","value":"233245","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"自然言語処理を用いたスパムメールフィルタリング手法の提案","author_link":["633171","633172"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"自然言語処理を用いたスパムメールフィルタリング手法の提案"},{"subitem_title":"Proposal of a spam mail filtering method using natural language processing","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"メール・フィッシング","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"情報セキュリティ大学院大学"},{"subitem_text_value":"情報セキュリティ大学院大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"INSTITUTE of INFORMATION SECURITY","subitem_text_language":"en"},{"subitem_text_value":"INSTITUTE of INFORMATION SECURITY","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/233245/files/IPSJ-CSEC24104031.pdf","label":"IPSJ-CSEC24104031.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSEC24104031.pdf","filesize":[{"value":"1.4 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":"30"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4e30e266-071b-47c1-9f96-9681ded13c2a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"脇谷, 峡平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大久保, 隆夫"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11235941","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":"2188-8655","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，フィッシングメールによる被害が増加傾向にある．情報セキュリティ 10 大脅威 2023 によると，フィッシングによる被害は昨年に引き続きランキング一位であり，今後もフィッシングメールの増加が予測される．また，生成系 AI 等の登場でフィッシングメールは多様性を帯びており，Recorded Future は “ChatGPT がフィッシングメッセージを作るなどのサイバー犯罪行為に用いられる可能性がある” との報告もしている．そこで本研究では，増加・多様化するフィッシングメールへのアプローチとしてフィルタリング手法の提案と実験を行う．実験内容としては，メールデータセットを用いて ALBERT，BERT，Bidirectional LSTM，LSTM 各種自然言語処理の学習とフィルタリング検証を行った．その結果，BERT では最高精度である F1score99.55% であり，検証結果では 90% の精度でフィルタリングが可能であることが判明し，生成系 AI が作成した文章でも 90% の精度でフィルタリングが可能であった．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータセキュリティ（CSEC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"31","bibliographicVolumeNumber":"2024-CSEC-104"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":233245,"links":{}}