{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228868","sets":["1164:2036:11089:11372"]},"path":["11372"],"owner":"44499","recid":"228868","title":["生成電力波形によるIoT異常動作検知手法の改良"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-10"},"_buckets":{"deposit":"d3b43c34-c52b-447e-b9a1-6b1970a0fe0c"},"_deposit":{"id":"228868","pid":{"type":"depid","value":"228868","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"生成電力波形によるIoT異常動作検知手法の改良","author_link":["614416","614417"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"生成電力波形によるIoT異常動作検知手法の改良"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ハードウェアセキュリティ，イジングマシン","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-11-10","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学基幹理工学研究科"},{"subitem_text_value":"早稲田大学基幹理工学研究科"}]},"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/228868/files/IPSJ-SLDM23204001.pdf","label":"IPSJ-SLDM23204001.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM23204001.pdf","filesize":[{"value":"3.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"5541ae10-264e-4380-aba7-2290ca473c5a","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":"久古, 幸汰"}],"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．ハードウェアデバイスの電力波形を用いて異常動作を検知する手法として，機械学習により定常状態の電力波形を推定することでアプリケーション電力波形を生成し，その波形から潜在的な特徴量を抽出することで自動的に異常動作を検知する手法が提案されている．本稿では，その手法を改良し，定常状態推定と異常検知の精度を向上した手法を提案する．実験の結果，改良前の手法では異常を検知出来なかった電力波形に対し，提案手法を適用することで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":"2023-11-10","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023-SLDM-204"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:28:00.125271+00:00","updated":"2025-01-19T11:41:19.732479+00:00","id":228868}