{"updated":"2025-01-20T18:30:04.655375+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00145066","sets":["581:7706:7715"]},"path":["7715"],"owner":"11","recid":"145066","title":["Twitterのスパム検知機能となりすまし検知機能の開発と評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-09-15"},"_buckets":{"deposit":"bc5dbc19-3219-4719-b296-362d25d60efb"},"_deposit":{"id":"145066","pid":{"type":"depid","value":"145066","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Twitterのスパム検知機能となりすまし検知機能の開発と評価","author_link":["221952","221951","221953","221950"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Twitterのスパム検知機能となりすまし検知機能の開発と評価"},{"subitem_title":"Development and Evaluation of the Spam Discovery Function and the Spoofing Discovery Function of Twitter","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：社会に浸透していくコンピュータセキュリティ技術] Twitter，スパム，なりすまし，検知，セキュリティ","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2015-09-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京電機大学大学院未来科学研究科"},{"subitem_text_value":"東京電機大学未来科学部"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Science and Technology for Future Life, Tokyo Denki University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Denki University, School of Science and Technology for Future Life","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/145066/files/IPSJ-JNL5609022.pdf","label":"IPSJ-JNL5609022.pdf"},"date":[{"dateType":"Available","dateValue":"2017-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5609022.pdf","filesize":[{"value":"1.7 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":"8"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"0901bf00-670b-4faa-8768-a5a96138861a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"若井, 一樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 良一"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuki, Wakai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ryoichi, Sasaki","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_2_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00116647","subitem_source_identifier_type":"NCID"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_2_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1882-7764","subitem_source_identifier_type":"ISSN"}]},"item_2_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Twitterにおけるスパム行為となりすまし行為の検知手法を提案する．これらの検知手法はスパム行為となりすまし行為の様々な特徴から検知対象であるか判定する項目を複数個作成し，それらの項目を数量化理論の適用によって最適な項目の組合せを選定することによって検知するものである．またこれらの手法を実装するとともに，検知結果をユーザに分かりやすく提示するようTwitterの表示系を強化したアプリケーションLookUpperの開発と評価を行った．この結果，本検知手法ではスパム行為となりすまし行為どちらも90%以上の的中率で検知することが可能であった．LookUpperの開発と評価について，本検知手法を実装し検知結果を分かりやすく表示する機能を開発し，被験者10人によってなされたLookUpperのユーザビリティに関する実験結果から全体的に高い評価を得るとともに，今後LookUpperの改良を行っていくためのアイディアを導く種々のコメントが寄せられた．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose the spam discovery method and the spoofing discovery method for Twitter. These discovery methods are achieved by using items created from the various features of spam and spoofing select the best combination items by application of mathematical quantification theory. In addition, we also performed the development and evaluation results of the application program named LookUpper with methods described above and enhanced display system of Twitter to provide clarity to the user detection result. We could know that the predictive values for discovering spam and spoofing were more than 90% each. From the experiments with regards to the usability of LookUpper performed by 10 subjects, we could obtain high ratings overall with various comments leading to the ideas to improve the LookUpper in future.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1825","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1817","bibliographicIssueDates":{"bibliographicIssueDate":"2015-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"56"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:20:45.127769+00:00","id":145066,"links":{}}