{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00106524","sets":["6164:6165:6462:7729"]},"path":["7729"],"owner":"11","recid":"106524","title":["既知の悪性URL群と類似した特徴を持つURLの検索"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-10-15"},"_buckets":{"deposit":"44f12934-ec71-460d-a4fb-5f4f4f6ed3da"},"_deposit":{"id":"106524","pid":{"type":"depid","value":"106524","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"既知の悪性URL群と類似した特徴を持つURLの検索","author_link":["12346","12342","12344","12347","12343","12348","12345","12341"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"既知の悪性URL群と類似した特徴を持つURLの検索"},{"subitem_title":"Searching URLs That Have Similar Features to the Existing Malicious URLs","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"URLブラックリスト，検索アルゴリズム，類似性，ドライブ・バイ・ダウンロード攻撃，フィッシング","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2014-10-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学基幹理工学部"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"NTTセキュアプラットフォーム研究所"},{"subitem_text_value":"早稲田大学基幹理工学部"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Waseda University","subitem_text_language":"en"},{"subitem_text_value":"NTT Secure Platform Laboratories","subitem_text_language":"en"},{"subitem_text_value":"NTT Secure Platform Laboratories","subitem_text_language":"en"},{"subitem_text_value":"Waseda University","subitem_text_language":"en"}]},"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/106524/files/IPSJCSS2014001.pdf"},"date":[{"dateType":"Available","dateValue":"2016-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJCSS2014001.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"30"},{"tax":["include_tax"],"price":"0","billingrole":"46"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0d04e05c-3447-4bd0-84b3-ec00b55d32ba","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"孫, 博"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋山, 満昭"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"八木, 毅"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森, 達哉"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Bo, Sun","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mitsuaki, Akiyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takeshi, Yagi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tatsuya, Mori","creatorNameLang":"en"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ドライブ・バイ・ダウンロード攻撃やフィッシング等のウェブユーザを標的とした脅威に対する有効な対策手段としてURLブラックリストが広く利用されている．多種多様な悪性URLを含む大量の未知URLリストから特定の攻撃で利用された既知のURL群と類似したURLを抽出できれば，URLブラックリストを整理・拡張するのに有用である．本研究は任意の悪性URL群と類似したURLをスコア付きで検索する方法を提案する．類似要素の検索アルゴリズムとしてBayesian Sets を用いる．類似性を判定するための特徴としては，URL構成文字列，ドメイン，IPアドレス，HTML，javascript等の様々な情報を用いる．実データを用いて提案手法の有効性を検証した結果および応用例を報告する．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"コンピュータセキュリティシンポジウム2014論文集"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2014-10-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-21T09:20:52.889116+00:00","created":"2025-01-18T23:49:54.822988+00:00","links":{},"id":106524}