{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00218807","sets":["1164:3925:10844:10942"]},"path":["10942"],"owner":"44499","recid":"218807","title":["深層学習を用いた非プロファイル型サイドチャネル解析の再考"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-07-12"},"_buckets":{"deposit":"b7ea4e9d-2fb6-4a4d-9347-735798b0331f"},"_deposit":{"id":"218807","pid":{"type":"depid","value":"218807","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習を用いた非プロファイル型サイドチャネル解析の再考","author_link":["569802","569797","569804","569805","569801","569803","569800","569799","569798","569796"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習を用いた非プロファイル型サイドチャネル解析の再考"},{"subitem_title":"Revisit of Non Profiled Side Channel Analysis via Deep Learning","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":"国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"},{"subitem_text_value":"国立研究開発法人産業技術総合研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nat. Inst. of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Nat. Inst. of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Nat. Inst. of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Nat. Inst. of Advanced Industrial Science and Technology (AIST)","subitem_text_language":"en"},{"subitem_text_value":"Nat. Inst. of Advanced Industrial Science and Technology (AIST)","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/218807/files/IPSJ-CSEC22098002.pdf","label":"IPSJ-CSEC22098002.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSEC22098002.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"bed19da7-9f3a-4ed2-b75e-e7c413b29f15","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":"今福, 健太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川村, 信一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野﨑, 華恵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"坂本, 純一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大須賀, 彩希"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kentaro, Imafuku","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinichi, Kawamura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hanae, Nozaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Junichi, Sakamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Saki, Osuka","creatorNameLang":"en"}],"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":"深層学習を用いた非プロファイル型のサイドチャネル解析について，セキュリティ解析としての位置付けや解析の背後にある基本的なアイディアを概説した後，従来法では秘密情報の候補数と同じ数の学習過程が必要であり計算リソースへの要求も大きかったところ，候補数に依らない一回分の学習のみで済む新しいタイプの非プロファイル型サイドチャネル解析を提案する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"After a brief review of non-profile side channel analysis using deep learning, we propose some improved versions of the original analysis. The proposed versions require only one learning process, regardless of the number of candidate secret information, and differ from the original, which requires the same number of learning processes as the number of candidates.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータセキュリティ（CSEC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-07-12","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2022-CSEC-98"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":218807,"updated":"2025-01-19T15:01:34.452464+00:00","links":{},"created":"2025-01-19T01:19:09.223013+00:00"}