{"created":"2023-05-15T10:29:03.887058+00:00","id":24914,"links":{},"metadata":{"_buckets":{"deposit":"0bccd6de-21fb-409d-a6ee-34b3f05351e8"},"_deposit":{"created_by":1,"id":"24914","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"24914"},"status":"published"},"_oai":{"id":"oai:u-fukui.repo.nii.ac.jp:00024914","sets":["2403:2226:2227:2535"]},"author_link":["72199","72200","72201","72195","72193","72197","72198","72194","72192","72196"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"57","bibliographicPageStart":"51","bibliographicVolumeNumber":"68","bibliographic_titles":[{"bibliographic_title":"福井大学 大学院工学研究科 研究報告"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we proposed two effective feature extraction methods for detecting intrusion in HTTP request sequences. We compared the classification accuracy of each proposed method using a machine learning. Attacks on Web applications are difficult to distinguish between normal and abnormal, and mechanical detection is not easy. Therefore, we focused on the fact that attacks on various Web applications are closely related to special symbols that differ from ordinary characters. As a result of classification using a method characterized by the number of occurrences of special symbols, the accuracy rate was about 95%. Also F-value and AUC are about 94% each.","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"福井大学 大学院工学研究科"}]},"item_10002_relation_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"TD10122406","subitem_relation_type_select":"NCID"}}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"清水, 大貴"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小高, 知宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"黒岩, 丈介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"諏訪, いずみ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"白井, 治彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shimizu, Daiki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Odaka, Tomohiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kuroiwa, Jousuke","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Suwa, Izumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shirai, Haruhiko","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-08-05"}],"displaytype":"detail","filename":"bd10122406.pdf","filesize":[{"value":"573.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"bd10122406.pdf","url":"https://u-fukui.repo.nii.ac.jp/record/24914/files/bd10122406.pdf"},"version_id":"da3363a4-64eb-447f-b593-42bcd9b2807b"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Security","subitem_subject_scheme":"Other"},{"subitem_subject":"HTTP Request","subitem_subject_scheme":"Other"},{"subitem_subject":"Special Symbols","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine Learning","subitem_subject_scheme":"Other"}]},"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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"機械学習を用いた Web アプリケーション攻撃検知手法の提案","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた Web アプリケーション攻撃検知手法の提案"},{"subitem_title":"Proposal of Web application attack detection method using machine learning","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"1","path":["2535"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-04-01"},"publish_date":"2020-04-01","publish_status":"0","recid":"24914","relation_version_is_last":true,"title":["機械学習を用いた Web アプリケーション攻撃検知手法の提案"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T12:26:32.883466+00:00"}