{"updated":"2025-01-20T03:36:20.528460+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00183611","sets":["581:8997:9007"]},"path":["9007"],"owner":"11","recid":"183611","title":["無線LANアクセスポイントのベンダー構成比を用いた在宅/オフィス推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-09-15"},"_buckets":{"deposit":"a716d709-f6b2-42e8-82aa-45d4f886b655"},"_deposit":{"id":"183611","pid":{"type":"depid","value":"183611","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"無線LANアクセスポイントのベンダー構成比を用いた在宅/オフィス推定","author_link":["403532","403531","403530","403533"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"無線LANアクセスポイントのベンダー構成比を用いた在宅/オフィス推定"},{"subitem_title":"The Estimation for being in Home/at Office Using Vendor Composition Ratio of Wi-Fi Access Points","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"[特集：高度化するサイバー攻撃に対応するコンピュータセキュリティ技術] プライバシ，Wi-Fi，MACアドレス，モバイル端末，行動履歴","subitem_subject_scheme":"Other"}]},"item_type_id":"2","publish_date":"2017-09-15","item_2_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学"},{"subitem_text_value":"東京大学"}]},"item_2_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"The University of Tokyo","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/183611/files/IPSJ-JNL5809013.pdf","label":"IPSJ-JNL5809013.pdf"},"date":[{"dateType":"Available","dateValue":"2019-09-15"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-JNL5809013.pdf","filesize":[{"value":"4.2 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":"624dbb00-2ed5-440a-8416-a837a7f38e51","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_2_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 宏哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 利恵"}],"nameIdentifiers":[{}]}]},"item_2_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroya, Susuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Rie, Shigetomi Yamaguchi","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":"近年，スマートフォンに代表されるモバイル端末の普及により，利用者は場所を問わず，常時様々なサービスを享受することができるようになっている．一方で，モバイル端末と利用者行動との密接な結び付きから，プライバシ問題に注目が集まっている．特に，通信に端末固有のMACアドレスが含まれるWi-Fi無線通信は，利用者の追跡や位置情報の暴露といったプライバシ上の危険性を有している．本稿では，モバイル端末が収集した周辺のアクセスポイントのMACアドレス情報に着目し，アクセスポイント機器のベンダー構成比から，位置情報データベースなしでも居場所推定に有用な情報が得られることを示した．本稿では，16名の被験者から30日分ずつ収集した周辺アクセスポイントのMACアドレスデータを用い，在宅中や就業，就学中の時間帯におけるベンダー構成に有意に異なる相関比が得られることを実験により確認した．","subitem_description_type":"Other"}]},"item_2_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, many people have wireless devices that can connect wireless network through Wi-Fi or Bluetooth connection. The information that is collected by these devices are useful, but invasion of privacy occurs. This risk raises concerns that user's privacy may be disclosed by gathering MAC addresses data. In this paper, we show the result of gathering MAC addresses of 30 days from 16 volunteers. We analyzed the gathered data and showed that there is a relationship user behavior and vendor composition ratio of wireless access points around user.","subitem_description_type":"Other"}]},"item_2_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"1512","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌"}],"bibliographicPageStart":"1501","bibliographicIssueDates":{"bibliographicIssueDate":"2017-09-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"58"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:51:07.214399+00:00","id":183611,"links":{}}