{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00226953","sets":["1164:3925:11156:11295"]},"path":["11295"],"owner":"44499","recid":"226953","title":["深層学習モデルにおけるクラスタリングスコアを用いた非プロファイル型サイドチャネル攻撃(1)オートエンコーダを用いたハードウェア実装AESに対する攻撃"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-07-17"},"_buckets":{"deposit":"a563683c-223f-47ee-ba48-2ffc7c0315c6"},"_deposit":{"id":"226953","pid":{"type":"depid","value":"226953","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"深層学習モデルにおけるクラスタリングスコアを用いた非プロファイル型サイドチャネル攻撃(1)オートエンコーダを用いたハードウェア実装AESに対する攻撃","author_link":["603612","603615","603611","603617","603618","603614","603616","603613"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"深層学習モデルにおけるクラスタリングスコアを用いた非プロファイル型サイドチャネル攻撃(1)オートエンコーダを用いたハードウェア実装AESに対する攻撃"},{"subitem_title":"Non-profiled Side-channel Attacks by using Clustering Scores in Deep Learning model (1) Attacks by using Auto Encoder against hardware-implemented AES","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":"2023-07-17","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"立命館大学理工学研究科"},{"subitem_text_value":"立命館大学理工学研究科"},{"subitem_text_value":"立命館大学理工学部"},{"subitem_text_value":"立命館大学理工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Engineering, Ritsumeikan University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Science and Engineering, Ritsumeikan University","subitem_text_language":"en"},{"subitem_text_value":"Department of Science and Engineering, Ritsumeikan University","subitem_text_language":"en"},{"subitem_text_value":"Department of Science and Engineering, Ritsumeikan University","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/226953/files/IPSJ-CSEC23102018.pdf","label":"IPSJ-CSEC23102018.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CSEC23102018.pdf","filesize":[{"value":"1.8 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"b6247f0f-f7d3-4e9e-bb61-0b962c10bcbf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 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":"長久, 瑞樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"福田, 悠太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉田, 康太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤野, 毅"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Mizuki, Nagahisa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuta, Fukuda","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kota, Yoshida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Fujino","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":"2019 年に非プロファイル型のシナリオにおける深層学習サイドチャネル攻撃として差分深層学習解析 (DDLA) が提案された．DDLA では解析するバイトごとにすべての鍵候補に対応する深層学習モデルを訓練する必要があり，計算コストが大きいという問題があった．2023 年の SCIS で，我々は 1 つのオートエンコーダ (AE) にソフトウェア実装 AES から取得した消費電力波形を入力し，訓練した AE から得た潜在変数のクラスタ解析に基づく非プロファイル型 DL-SCA を提案し，DDLA と比較して 1/500 の計算時間で全鍵を取得できることを報告した．本稿ではハードウェア実装 AES に対して AE による非プロファイル型 DL-SCA を実施しすべての鍵を特定できたことを報告する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In 2019, Differential Deep Learning Analysis (DDLA) was proposed as a deep-learning based side-channel attack in non-profiled scenario. DDLA need to train a deep learning model corresponding to candidate key and every byte, which requires a high computational cost. In SCIS2023, we proposed a non-profiled DL-SCA based on cluster analysis of latent variables on an auto encoder (AE) which is trained by inputting power consumption waveforms acquired from software-implementationed AES. We demonstrated that all key bytes can be revealed in 1/500 times faster than DDLA. In this paper, we report the results of non-profiled DL-SCA with AE against hardware-implemented AES, where all the key bytes are successfully revealed.","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":"2023-07-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"18","bibliographicVolumeNumber":"2023-CSEC-102"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:26:16.392315+00:00","updated":"2025-01-19T12:19:34.932690+00:00","id":226953}