{"created":"2023-05-15T12:00:34.587092+00:00","id":7460,"links":{},"metadata":{"_buckets":{"deposit":"9eea4cc3-da2a-4d00-bddf-ec46aceb38e1"},"_deposit":{"created_by":3,"id":"7460","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"7460"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007460","sets":["8:24"]},"author_link":["32223","32227","32224","32226","899"],"item_21_alternative_title_18":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"RTP traffic identification based on tailored feature selection toward generalization in machine learning"}]},"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-09","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"B-6-45","bibliographic_titles":[{"bibliographic_title":"2021年電子情報通信学会通信ソサイエティ大会"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"アプリケーションの多様化に伴いQoE(Quality of Experience)を活用したネットワーク制御が期待されている．また，SDN(Software Defined Network)を用いたアプリケーション単位の柔軟な制御を実現できている[1]．このQoE計算法はアプリケーション毎に標準化されているため，QoEに基づくネットワーク制御にはアプリケーション識別が欠かせない．しかし，近年のペイロード暗号化によって直接的なアプリケーション識別が困難となったため，機械学習を用いたアプリケーション分類が検討されている．[2] では，IPアドレス等の特定のクラウドサーバの情報自体を特徴量としているが，多様なデバイスが接続するIoT環境では，IPアドレスが頻繁に変化する事が予想されるため，汎化性能は期待できない．そこで本研究では，RTP(Real-time Transport Protocol)の動画フローを環境非依存で検出するための特徴量の検討を行う．具体的には，OpenFlow(OF)を用いて異なる環境で訓練データとテストデータを生成し，環境が異なる場合でも高い検出率を実現できることを示す．","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"2021年電子情報通信学会ソサイエティ大会, 2021年9月14日～17日, オンライン開催","subitem_description_type":"Other"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"32226","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Mochimaru,  Yuta"}]},{"nameIdentifiers":[{"nameIdentifier":"32227","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Taenaka,  Yuzo"}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{"familyName":"Tsukamoto","familyNameLang":"en"},{"familyName":"塚本","familyNameLang":"ja"},{"familyName":"ツカモト","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Kazuya","givenNameLang":"en"},{"givenName":"和也","givenNameLang":"ja"},{"givenName":"カズヤ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"899","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"20452823","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000020452823"},{"nameIdentifier":"8237935100","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=8237935100"},{"nameIdentifier":"218","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/218_ja.html"}],"names":[{"name":"Tsukamoto, Kazuya","nameLang":"en"},{"name":"塚本, 和也","nameLang":"ja"},{"name":"ツカモト, カズヤ","nameLang":"ja-Kana"}]}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会"}]},"item_21_relation_14":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.ieice-taikai.jp/2021society/jpn/webpro/_html/cs.html#b_6"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.ieice-taikai.jp/2021society/jpn/webpro/_html/cs.html#b_6","subitem_relation_type_select":"URI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2021 IEICE"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"no"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州工業大学"},{"subitem_text_value":"奈良先端科学技術大学院大学"},{"subitem_text_value":"九州工業大学"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"9777"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"持丸,  雄匡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"妙中,  雄三"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Tsukamoto, Kazuya","creatorNameLang":"en"},{"creatorName":"塚本, 和也","creatorNameLang":"ja"},{"creatorName":"ツカモト, カズヤ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2021-12-21"}],"displaytype":"detail","filename":"RECN_2021-17.pdf","filesize":[{"value":"298.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"RECN_2021-17.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7460/files/RECN_2021-17.pdf"},"version_id":"ce28125b-e29d-4605-960a-82d051f0cdd2"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"機械学習の汎化性能獲得のための特徴量選択に基づくRTPフロー分類手法の検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習の汎化性能獲得のための特徴量選択に基づくRTPフロー分類手法の検討"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-12-21"},"publish_date":"2021-12-21","publish_status":"0","recid":"7460","relation_version_is_last":true,"title":["機械学習の汎化性能獲得のための特徴量選択に基づくRTPフロー分類手法の検討"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-10-25T08:46:57.240988+00:00"}