{"id":210757,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00210757","sets":["6164:6165:6640:10580"]},"path":["10580"],"owner":"44499","recid":"210757","title":["Local Differential Privacyによりプライバシーを考慮した位置情報分布推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-06-17"},"_buckets":{"deposit":"782144f8-113b-4cde-a701-e55f924cb3d8"},"_deposit":{"id":"210757","pid":{"type":"depid","value":"210757","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Local Differential Privacyによりプライバシーを考慮した位置情報分布推定","author_link":["534288","534287"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Local Differential Privacyによりプライバシーを考慮した位置情報分布推定"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"プライバシー保護","subitem_subject_scheme":"Other"}]},"item_type_id":"18","publish_date":"2020-06-17","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":"明治大学総合数理学部"},{"subitem_text_value":"明治大学総合数理学部"}]},"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/210757/files/IPSJ-DICOMO2020044.pdf","label":"IPSJ-DICOMO2020044.pdf"},"date":[{"dateType":"Available","dateValue":"2022-06-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DICOMO2020044.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":"44"}],"accessrole":"open_date","version_id":"d55a3e75-dbec-490f-900e-ece804da0619","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2020 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"堀込, 光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"菊池, 浩明"}],"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":"スマートフォンの普及に伴い，サービス企業は，渋滞予測や混雑予想などのためにリアルタイムな位置情報を収集し公開している．しかし，こうしたサービスでは，個人の位置に関するプライバシが侵害されるの危険性がある．そこで，Google の RAPPOR などの Local Differential Privacy (LDP) 手法を用いて，個々 (Local) の真の位置情報を隠して正しく情報を集計し，プライバシを保護した人口分布推定が行われている．しかし，RAPPOR では，推定されている集計は最尤推定であり精度が十分ではない．そこで，本論文では，Expectation Maximizaion (EM) アルゴリズムを適用し，従来の RAPPOR よりも精度の高い推定方式を提案し，最尤推定よりも精度が高いことを報告する．","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"297","bibliographic_titles":[{"bibliographic_title":"マルチメディア，分散協調とモバイルシンポジウム2063論文集"}],"bibliographicPageStart":"290","bibliographicIssueDates":{"bibliographicIssueDate":"2020-06-17","bibliographicIssueDateType":"Issued"},"bibliographicVolumeNumber":"2020"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:02:04.890960+00:00","created":"2025-01-19T01:11:57.675368+00:00","links":{}}