{"id":209538,"updated":"2025-01-19T18:29:15.694166+00:00","links":{},"created":"2025-01-19T01:10:50.514090+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209538","sets":["1164:6389:10492:10493"]},"path":["10493"],"owner":"44499","recid":"209538","title":["NIDS アラートに対する原因通信の抽出手法の提案及び考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-22"},"_buckets":{"deposit":"5191cb22-07dc-4f5d-8b3e-b5f8066e9e74"},"_deposit":{"id":"209538","pid":{"type":"depid","value":"209538","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"NIDS アラートに対する原因通信の抽出手法の提案及び考察","author_link":["528295","528293","528298","528300","528297","528296","528291","528292","528299","528301","528294","528290"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"NIDS アラートに対する原因通信の抽出手法の提案及び考察"},{"subitem_title":"Developing and Characterizing a New Approach to Extracting Communication Sessions Associated with NIDS Alerts","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":"2021-02-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"九州大学"},{"subitem_text_value":"九州大学"},{"subitem_text_value":"情報通信研究機構/九州大学"},{"subitem_text_value":"情報通信研究機構"},{"subitem_text_value":"情報通信研究機構"},{"subitem_text_value":"九州大学\n"}]},"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":"National Institute of Information and Communications Technology / 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":"Kyushu University\n","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/209538/files/IPSJ-SPT21041001.pdf","label":"IPSJ-SPT21041001.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SPT21041001.pdf","filesize":[{"value":"3.3 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純一"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ryosuke, Ishibashi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hiroki, Goto","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":"ネットワーク上におけるサイバー攻撃は多様化し,その数も増加している.サイバー攻撃を検知,対処するための一般的なプロセスでは,ネットワーク侵入検知システム(Network Intrusion Detection System : NIDS)を用い,異常と疑わしい通信の自動検知を行う.様々なベンダが NIDS を開発,提供しているがそれらの検知基準は製品により異なる.我々は複数の NIDS が発するアラートを AI に学習させることで,それらの知見を学んだより良い NIDS を開発できるのではないかと考えた.しかし,そのための訓練データを人手で準備するのには莫大な時間ががかる. アラートに対する原因通信を抽出し,アラートグルーピングを自動で行う仕組みを提案したことで,教師データの自 動生成等の実現可能性を示した.","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":"2021-02-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021-SPT-41"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}