{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240515","sets":["1164:2036:11466:11785"]},"path":["11785"],"owner":"44499","recid":"240515","title":["オートエンコーダによるアプリケーション電力波形抽出を利用した電力解析に基づく異常動作検知手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-05"},"_buckets":{"deposit":"946ba15b-d9d2-488d-b05c-af2299606297"},"_deposit":{"id":"240515","pid":{"type":"depid","value":"240515","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"オートエンコーダによるアプリケーション電力波形抽出を利用した電力解析に基づく異常動作検知手法","author_link":["659950","659949"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"オートエンコーダによるアプリケーション電力波形抽出を利用した電力解析に基づく異常動作検知手法"}]},"item_type_id":"4","publish_date":"2024-11-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学大学院基幹理工学研究科"},{"subitem_text_value":"早稲田大学大学院基幹理工学研究科"}]},"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/240515/files/IPSJ-SLDM24207033.pdf","label":"IPSJ-SLDM24207033.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM24207033.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"9f3c468f-72f5-4262-bd2d-561028a77ec6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 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":"江田, 琉聖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸川, 望"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Internet of Things (IoT) デバイスの普及に伴い，ハードウェアデバイスのセキュリティ課題 が増加している．特に，消費電力を用いた異常動作検知においては，複雑な消費電力波形からアプリケーション電力波形を抽出して異常動作を検知する必要がある．本稿では，オートエンコーダによるアプリケーション電力波形抽出を利用した電力解析に基づく異常動作検知手法を提案する．提案手法は，まず，オートエンコーダにより測定電力波形からアプリケーション電力波形を抽出する．その後，得たアプリケーション電力波形から潜在的な特徴量を抽出することで異常動作を検知する．提案手法を IoT デバイスに適用した結果，測定電力波形から精度の高いアプリケーション電力波形を抽出し，異常動作の検知に成功した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"33","bibliographicVolumeNumber":"2024-SLDM-207"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":240515,"updated":"2025-01-19T07:57:19.794816+00:00","links":{},"created":"2025-01-19T01:44:44.915139+00:00"}