{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218845","sets":["1164:6389:10832:10943"]},"path":["10943"],"owner":"44499","recid":"218845","title":["耐量子鍵カプセル化メカニズムに対する多クラス分類ニューラルネットワークを用いたサイドチャネル攻撃の検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-12"},"_buckets":{"deposit":"ab57ea0d-e47e-47f4-bd44-1ac045631710"},"_deposit":{"id":"218845","pid":{"type":"depid","value":"218845","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"耐量子鍵カプセル化メカニズムに対する多クラス分類ニューラルネットワークを用いたサイドチャネル攻撃の検討","author_link":["570021","570022","570016","570015","570018","570019","570014","570012","570020","570017","570013","570023"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"耐量子鍵カプセル化メカニズムに対する多クラス分類ニューラルネットワークを用いたサイドチャネル攻撃の検討"},{"subitem_title":"Side-Channel Attacks on Post-Quantum KEMs Using Multi-class Classification Neural Network","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"HWS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-07-12","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学電気通信研究所/JST CREST"},{"subitem_text_value":"東北大学電気通信研究所/JST CREST"},{"subitem_text_value":"日本電信電話株式会社"},{"subitem_text_value":"日本電信電話株式会社"},{"subitem_text_value":"日本電信電話株式会社"},{"subitem_text_value":"東北大学電気通信研究所/JST CREST "}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Research Institute of Electrical Communication, Tohoku University / CREST, JST","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication, Tohoku University / CREST, JST","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories, Nippon Telegraph and Telephone Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories, Nippon Telegraph and Telephone Corporation","subitem_text_language":"en"},{"subitem_text_value":"NTT Social Informatics Laboratories, Nippon Telegraph and Telephone Corporation","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication, Tohoku University / CREST, JST","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/218845/files/IPSJ-SPT22048001.pdf","label":"IPSJ-SPT22048001.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SPT22048001.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"6e0cc116-dc2c-4707-b0fd-ca4affb76ea1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田中, 裕太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"上野, 嶺"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"草川, 恵太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊東, 燦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高橋, 順子"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"本間, 尚文"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yutaro, Tanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rei, Ueno","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Keita, Xagawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akira, Ito","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Junko, Takahashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Naofumi, Homma","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":"本稿では,耐量子鍵カプセル化メカニズム (KEM) に対するサイドチャネル攻撃について述べる.耐量子 KEM では,IND–CCA 安全性を実現するため,鍵デカプセル化の際に再暗号化が実行される.提案する攻撃では,再暗号化で用いられる疑似ランダム関数 (PseudoRandom Function:  PRF) もしくは疑似ランダム生成器 (PseudoRandom Generator: PRG) に着目し,その動作時のサイドチャネル情報から平文判定オラクルを実現することで選択暗号文攻撃を可能とする.平文判定オラクルの実現に関して,従来は二クラス分類ニューラルネットワーク (NN) が用いられてきた.本稿では,多クラス分類 NN の利用およびそれを活用した選択暗号文攻撃を提案し,従来手法と比較して鍵回復に必要な波形数を最大 83% 削減可能であることを示す.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","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":"2022-07-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022-SPT-48"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218845,"updated":"2025-01-19T15:00:47.466817+00:00","links":{},"created":"2025-01-19T01:19:11.414745+00:00"}