{"id":224827,"updated":"2025-01-19T13:00:26.825432+00:00","links":{},"created":"2025-01-19T01:24:23.349820+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00224827","sets":["1164:6389:11170:11171"]},"path":["11171"],"owner":"44499","recid":"224827","title":["高精度なネットワーク侵入検知のための特徴量の統合"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-06"},"_buckets":{"deposit":"3da0b1cc-b0af-493a-8996-6add00716aee"},"_deposit":{"id":"224827","pid":{"type":"depid","value":"224827","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"高精度なネットワーク侵入検知のための特徴量の統合","author_link":["593726","593718","593725","593729","593714","593720","593719","593721","593727","593723","593728","593722","593717","593724","593716","593715"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"高精度なネットワーク侵入検知のための特徴量の統合"},{"subitem_title":"Multimodal Feature Integration Toward High-Accuracy Network Intrusion Detection","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ICSS","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2023-03-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"国立大学法人九州大学"},{"subitem_text_value":"国立大学法人九州大学"},{"subitem_text_value":"国立大学法人九州大学"},{"subitem_text_value":"国立大学法人九州大学"},{"subitem_text_value":"国立研究開発法人情報通信研究機構"},{"subitem_text_value":"国立研究開発法人情報通信研究機構"},{"subitem_text_value":"国立研究開発法人情報通信研究機構"},{"subitem_text_value":"国立大学法人九州大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Information and Communications Technology","subitem_text_language":"en"},{"subitem_text_value":"Kyushu University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/224827/files/IPSJ-SPT23050013.pdf","label":"IPSJ-SPT23050013.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SPT23050013.pdf","filesize":[{"value":"935.0 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健志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"竹内, 純一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Masazumi, Iida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kohei, Miyamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yoshinari, Takeishi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shota, Kawanaka","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Chansu, Han","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tao, Ban","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Takahashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Jun’ichi, Takeuchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12628305","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8671","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"増加するサイバー攻撃に対抗するため,これまで以上に侵入検知システムの重要性が高まっている.特にネットワークを監視し悪意のあるパケットを検知するネットワーク侵入検知システムにおいて,機械学習を用いた分類が盛んに行われている.パケットのヘッダの特徴量を抽出する手法が主流であり,ヘッダに基づいた攻撃やパケットを大量に送信する攻撃に対し有効である一方で,SQL Injection のようなペイロードに特徴のある攻撃には不向きである.ヘッダに基づく特徴抽出手法の欠点を補うためにペイロードの特徴量を抽出する手法の研究が進められている.また通信のセッションはパケットのまとまりであり,セッションごとの分類することで精度を減らすことなくアラート数を減少させる手法が研究されている.本稿ではヘッダとペイロードそれぞれの特徴量を同時に利用することで両者の利点を最大限活用する新しい高精度なネットワーク侵入検知手法を提案し,公開データセットを用いてこの手法が単一の手法より優れていることを確かめた.具体的にはパケット単位分類では F1 値が 0.98 以上,セッション単位分類では F1 値が 0.93 以上を達成した.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告セキュリティ心理学とトラスト(SPT)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-03-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"13","bibliographicVolumeNumber":"2023-SPT-50"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}