{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00192129","sets":["6164:6165:6462:9599"]},"path":["9599"],"owner":"44499","recid":"192129","title":["Active LearningとEnsemble Learningを用いた悪性ドメイン名検知システム"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-10-15"},"_buckets":{"deposit":"55e0fe81-0bd8-4038-8c77-dbb93ebadc14"},"_deposit":{"id":"192129","pid":{"type":"depid","value":"192129","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Active LearningとEnsemble Learningを用いた悪性ドメイン名検知システム","author_link":["446689","446692","446693","446691","446690"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Active LearningとEnsemble Learningを用いた悪性ドメイン名検知システム"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"悪性ドメイン名，Active Learning，Ensemble Learning","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2018-10-15","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"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"早稲田大学"}]},"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/192129/files/IPSJCSS2018034.pdf","label":"IPSJCSS2018034.pdf"},"date":[{"dateType":"Available","dateValue":"2020-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJCSS2018034.pdf","filesize":[{"value":"658.4 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"7d536f72-3fe9-49da-8de0-5b627d9fcadf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"福士, 直翼"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"千葉, 大紀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高田, 雄太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋山, 満昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内田, 真人"}],"nameIdentifiers":[{}]}]},"item_18_relation_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_select":"NCID","subitem_relation_type_id_text":"ISSN　1882-0840"}}]},"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":"本論文では，悪性ドメイン名を教師あり機械学習により検知するシステムについて検討する．従来手法では，悪性ドメイン名を高精度に検知するために，高いコストをかけて作成したラベル付きの訓練データを大量に用いて訓練モデルを学習させている．本論文では識別境界付近のデータに対してラベル付けを行うという Active Learning に基づく手法を提案し，極めて少量の訓練データを用いた学習により訓練モデルの識別性能を向上できることを示した．また，Active Learning により逐次的に学習された過去の訓練モデルを破棄せずに，直近に学習された訓練モデルと統合して使用するという Ensemble Learning に基づく手法を提案し，識別性能の向上と安定が可能となることを示した．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"248","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2018論文集"}],"bibliographicPageStart":"241","bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":192129,"updated":"2025-01-20T00:17:38.940651+00:00","links":{},"created":"2025-01-19T00:57:53.309269+00:00"}