{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00106641","sets":["6164:6165:6462:7729"]},"path":["7729"],"owner":"11","recid":"106641","title":["プライバシを考慮したデータ収集及び再構築アルゴリズムの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-10-15"},"_buckets":{"deposit":"bf17742c-aab5-488a-b49d-69fdd6bfdb36"},"_deposit":{"id":"106641","pid":{"type":"depid","value":"106641","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"プライバシを考慮したデータ収集及び再構築アルゴリズムの提案","author_link":["13215","13214","13216","13217"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"プライバシを考慮したデータ収集及び再構築アルゴリズムの提案"},{"subitem_title":"Data Collection for Privacy-Preserving Data Mining","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"プライバシ，データマイニング，参加型環境センシング","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":"電気通信大学大学院情報システム学研究科"},{"subitem_text_value":"電気通信大学大学院情報システム学研究科"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Information Systems, The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Information Systems, The University of Electro-Communications","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/106641/files/IPSJCSS2014118.pdf"},"date":[{"dateType":"Available","dateValue":"2016-10-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJCSS2014118.pdf","filesize":[{"value":"1.5 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":"1afd0cc4-e831-4330-9aad-1e714ee815b6","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":"清, 雄一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大須賀, 昭彦"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuichi, Sei","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Akihiko, Ohsuga","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":"多くのユーザによって計測された環境データを収集してマイニングする試みが行われている．プライバシに配慮するため，ユーザが手元の端末で計測データを一定の確率で他のデータに置き換え，置き換えたデータをサーバへ通知する，Randomized Reponse (RR) という手法が広く研究されている．データを収集したサーバは，統計的手法を用いることで計測データの分布を推測することができるが，その精度が低いという問題がある．本研究ではユーザが手元の端末でデータの集合を作成し，その集合を通知する手法を提案する．差分プライバシの指標の下で，RRと比較してプライバシと推測誤差のトレードオフをより高いレベルで取れることを示す．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Environmental data collected by a lot of users can be used for many scenarios such as city planning. In randomized response (RR) scheme which have been widely studies recent years, each user disguises a true data and sends the disguised data to the data collection server. In our proposed method, each user creates a set of data from pre-defined probability matrix and sends the set to the server. We prove that our proposed algorithm can make a better tradeoff between privacy and utility when we use differential privacy.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"916","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":"909","bibliographicIssueDates":{"bibliographicIssueDate":"2014-10-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:50:00.622010+00:00","updated":"2025-01-21T09:24:45.146064+00:00","id":106641}