{"created":"2025-01-19T01:02:52.773860+00:00","updated":"2025-01-19T21:55:25.158121+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00198707","sets":["6164:6165:7651:9882"]},"path":["9882"],"owner":"44499","recid":"198707","title":["スリープ状態をもつ組込みシステムを対象とした電力解析にもとづく異常動作検知とその実証的評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-08-21"},"_buckets":{"deposit":"3dd89cf1-e25b-4bd4-b4f5-5ebe37065c2b"},"_deposit":{"id":"198707","pid":{"type":"depid","value":"198707","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"スリープ状態をもつ組込みシステムを対象とした電力解析にもとづく異常動作検知とその実証的評価","author_link":["479648","479650","479649"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"スリープ状態をもつ組込みシステムを対象とした電力解析にもとづく異常動作検知とその実証的評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Hotspot検出・異常検知","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2019-08-21","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_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情報理工・情報通信専攻"},{"subitem_text_value":"キーサイト・テクノロジー・インターナショナル合同会社"},{"subitem_text_value":"早稲田大学大学院基幹理工学研究科情報理工・情報通信専攻"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Dept. of Computer Science and Communications Engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Keysight Japan G.K.","subitem_text_language":"en"},{"subitem_text_value":"Dept. of Computer Science and Communications Engineering, Waseda University","subitem_text_language":"en"}]},"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/198707/files/IPSJ-DAS2019018.pdf","label":"IPSJ-DAS2019018.pdf"},"date":[{"dateType":"Available","dateValue":"2021-08-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DAS2019018.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c9172baf-6789-4fab-af60-e1843a143f8a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"長谷川, 健人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"近松, 聖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"戸川, 望"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"低コストで高機能なIoTデバイスが普及する昨今,IoTデバイスを対象としたサイバー攻撃が懸念される.IoTデバイスなどの組込み機器では,ハードウェアの設計・製造段階で挿入されるハードウェアトロイや,ファームウェアアップデートによるマルウェア感染の危険性が指摘されており,組込みシステムにおける脅威を早期に検出する技術の開発は急務である.本稿では,スリープ状態をもつ組込みシステムを対象とした電力解析にもとづく異常動作検知手法を提案し,実デバイスを用いて提案手法を実証的に評価する.まず,マイクロコントローラを搭載した組込みシステムに対し消費電力を測定し,平常時におけるスリープ状態とアクティブ状態の区間を教師なし学習で識別する.次に,アクティブ状態の区間に着目してその継続時間とその間の消費エネルギーを算出し,特徴量を抽出する.抽出した特徴量にもとづき,外れ値検知アルゴリズムを適用して異常動作を検知する.複数のマイクロコントローラを用いた実験により,提案手法の有効性を確認した.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"98","bibliographic_titles":[{"bibliographic_title":"DAシンポジウム2019論文集"}],"bibliographicPageStart":"93","bibliographicIssueDates":{"bibliographicIssueDate":"2019-08-21","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":198707,"links":{}}