{"updated":"2025-01-21T10:32:54.525965+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00103106","sets":["581:7397:7668"]},"path":["7668"],"owner":"11","recid":"103106","title":["SNSにおけるセンシティブデータの漏洩検知に基づく公開範囲の設定方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-09-15"},"_buckets":{"deposit":"5f34cd88-08f8-4256-901c-2d34cf3e5417"},"_deposit":{"id":"103106","pid":{"type":"depid","value":"103106","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"SNSにおけるセンシティブデータの漏洩検知に基づく公開範囲の設定方式","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"SNSにおけるセンシティブデータの漏洩検知に基づく公開範囲の設定方式"},{"subitem_title":"Settings of Access Control by Detecting Sensitive Data Leaks in SNS","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：新しいリスクに対応するコンピュータセキュリティ技術（推薦論文）] プライバシ，センシティブデータ，SNS，Twitter，公開範囲","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2014-09-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"総合研究大学院大学"},{"subitem_text_value":"青山学院大学"},{"subitem_text_value":"首都大学東京産業技術大学院大学"},{"subitem_text_value":"総合研究大学院大学／国立情報学研究所コンテンツ科学研究系"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The Graduate University for Advanced Studies (SOKENDAI)","subitem_text_language":"en"},{"subitem_text_value":"Aoyama Gakuin University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University Advanced Institute of Industrial Technology","subitem_text_language":"en"},{"subitem_text_value":"The Graduate University for Advanced Studies (SOKENDAI) / National Institute of Informatics","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/103106/files/IPSJ-JNL5509016.pdf"},"date":[{"dateType":"Available","dateValue":"2016-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5509016.pdf","filesize":[{"value":"1.6 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":"79ce0478-06a8-4f55-b006-ac2805c9cac9","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"町田, 史門"},{"creatorName":"梶山, 朋子"},{"creatorName":"嶋田, 茂"},{"creatorName":"越前, 功"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shimon, Machida","creatorNameLang":"en"},{"creatorName":"Tomoko, Kajiyama","creatorNameLang":"en"},{"creatorName":"Shigeru, Shimada","creatorNameLang":"en"},{"creatorName":"Isao, Echizen","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":"SNS（Social Networking Service）が幅広い年齢層に急速に普及し，SNSに投稿されるライフログにより，多くの人々がコミュニケーションを活発化している一方，SNS投稿に起因したプライバシ侵害のトラブルが多く発生している．その原因の1つとして，SNSユーザによる，個人に関する情報の漏洩がある．本論文では，SNSユーザの不用意な投稿による個人に関する情報の漏洩が，実際に発生していることを確認するために，Twitterアーカイブにおけるこのような情報漏洩の存在率の試算評価を行った．次に，本試算評価を受け，SNS投稿時に発生する情報漏洩を自動検知する第一歩として，非公開とすべき情報の内容分類と開示レベルを対応付けた，SNSにおけるプライバシ侵害情報分類表の提案とその評価を行った．さらに本分類表の特性を活かし，センシティブデータの漏洩有無の通知と，SNS投稿者を中心としたネットワーク内における公開対象者の自動設定を提供するシステムを提案した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Social Networking Service is rapidly becoming popular for all ages nowadays. Users communicate by posting messages in SNS. On the other hand, posting messages through SNS increases invasion of privacy. One of the reasons is SNS users themselves often leak their sensitive data unintentionally. In this paper, to confirm leakage of sensitive information by unintentional posts, we evaluate the abundance ratio of sensitive data in Twitter archive. As a result, we define and evaluate a classification table of invasion of privacy for SNS that is based on classification according to contents of information which should be kept private, and disclosure level as the first step to detect privacy leaks automatically. We also propose a system that provides automatic configuration of disclosure target based on SNS egocentric network.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"2103","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"2092","bibliographicIssueDates":{"bibliographicIssueDate":"2014-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"55"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:48:11.538587+00:00","id":103106,"links":{}}