{"created":"2025-01-19T00:47:13.399751+00:00","updated":"2025-01-20T05:21:54.824323+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00177795","sets":["1164:4088:9073:9074"]},"path":["9074"],"owner":"11","recid":"177795","title":["機械学習を用いた推論を考慮した情報漏えいの検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-02-24"},"_buckets":{"deposit":"0412d1cc-a6d8-478c-91da-cb356402983a"},"_deposit":{"id":"177795","pid":{"type":"depid","value":"177795","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"機械学習を用いた推論を考慮した情報漏えいの検出","author_link":["378453","378451","378452","378449","378454","378450"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を用いた推論を考慮した情報漏えいの検出"},{"subitem_title":"A detection system of the information leakage concerning with inference rule using machine leaning. Guide to the Technical Report and Template","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2017-02-24","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"神奈川大学工学部"},{"subitem_text_value":"神奈川大学工学部"},{"subitem_text_value":"神奈川大学工学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Kanagawa University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Kanagawa University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Kanagawa University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/177795/files/IPSJ-IOT17036006.pdf","label":"IPSJ-IOT17036006.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOT17036006.pdf","filesize":[{"value":"440.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"3a3e5cc9-fd8a-443a-a0df-48e58c2476f0","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松下, 智樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木下, 宏揚"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森住, 哲也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tomoki, Matsushita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hirotsugu, Kinoshita","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuya, Moriizumi","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12326962","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8787","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"インターネット技術等の発展に伴い，人類が創出する情報量は爆発的に増加している．また SNS やクラウドサービスの台頭により，それらの情報へのアクセスが容易になった．それに伴いひとりひとりが扱う情報量も比例して増加している．このような情報爆発時代においては，蓄積された膨大な情報群を解析することによって秘密情報を得ようとする攻撃に対応できる新しい情報漏えい対策やプライバシー保護対策が必要となる．先行研究では一つ一つの情報それ自体は秘密情報ではなくても，それらが集まり何らかの推論を施すことによって，秘密情報を抽出する推論攻撃をグラフにリスト着色を施すことで表現した．そこで本論文では，SNS の中でも，Twitter のツイート情報に対してどのような情報が集まると推論攻撃となるのかを定義した上で，情報漏洩を未然に防ぐために機械学習の技術を用いたオブジェクト間の推論関係を獲得し，それをもとに推論規則を求める．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"With the development of Internet technology etc., the amount of information created by mankind has explodedly increased. In addition, with the rise of SNS and cloud services, access to such information became easier, and along with that, the information handled by each person In such information explosion era, new information leakage measures and privacy protection measures that can respond to attacks trying to obtain confidential information by analyzing a huge amount of accumulated information group In the previous research, even though each piece of information itself is not confidential information, they expressed and inferred inference by extracting confidential information using a hypergraph. In this paper, we aim to acquire inference rules using machine learning techniques in order to prevent information leakage before defining what kind of information gather as an inference attack.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告インターネットと運用技術（IOT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-02-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2017-IOT-36"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":177795,"links":{}}