{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215319","sets":["6504:10735:10809"]},"path":["10809"],"owner":"44499","recid":"215319","title":["教師なし学習を用いたDDoS攻撃検知に関する一検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"12d7d5df-88db-4f2f-97be-ea4813430d08"},"_deposit":{"id":"215319","pid":{"type":"depid","value":"215319","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"教師なし学習を用いたDDoS攻撃検知に関する一検討","author_link":["554332","554333","554331","554334","554335","554336"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"教師なし学習を用いたDDoS攻撃検知に関する一検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セキュリティ","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"},{"subitem_text_value":"仙台高専"},{"subitem_text_value":"東北大"},{"subitem_text_value":"東北大"}]},"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/215319/files/IPSJ-Z83-6X-01.pdf","label":"IPSJ-Z83-6X-01.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-29"}],"format":"application/pdf","filename":"IPSJ-Z83-6X-01.pdf","filesize":[{"value":"263.2 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"cfe5f789-0b8c-4d03-82a8-39134496d1a5","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"榧場, 叶耀"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小野, 大地"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ルイス, ギリエ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"和泉, 諭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"阿部, 亨"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"菅沼, 拓夫"}],"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_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Distributed Denial of Service (DDoS) 攻撃による被害が増加しており，DDoS攻撃の検知手法が数多く提案されている．その中でも，機械学習を用いた検知手法は高い検知精度が示されている．多くの研究では教師あり学習を採用しており，検知モデルを構築するために膨大な正常データと攻撃データを収集し，データに対してラベル付けを行うアノテーション作業が必要となる．本稿では，学習に攻撃データを必要とせず，正常データのみでのモデル構築を可能とする教師なし学習を用いたDDoS攻撃の検知手法について検討を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"452","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"451","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:16:05.446210+00:00","updated":"2025-01-19T16:13:03.019097+00:00","id":215319}