Item type |
SIG Technical Reports(1) |
公開日 |
2016-02-25 |
タイトル |
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タイトル |
Privacy-enhanced Similarity Search Scheme for Cloud Image Databases |
タイトル |
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言語 |
en |
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タイトル |
Privacy-enhanced Similarity Search Scheme for Cloud Image Databases |
言語 |
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言語 |
eng |
キーワード |
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主題Scheme |
Other |
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主題 |
暗号とプライバシ保護 |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Graduate School of Information Sciences, Tohoku University |
著者所属 |
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Cyberscience Center, Tohoku University |
著者所属(英) |
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en |
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Graduate School of Information Sciences, Tohoku University |
著者所属(英) |
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en |
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Cyberscience Center, Tohoku University |
著者名 |
Hao, Liu
Hideaki, Goto
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著者名(英) |
Hao, Liu
Hideaki, Goto
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
With the increasing use of Cloud Service in recent years, its security vulnerabilities becomes a bigger concern, for one reason that users' data are stored in cloud database as plaintext and can be easily accessed by the Cloud Service Provider. Especially for multimedia databases, which usually contain more sensitive information, data leakage will endanger users' privacy more seriously. This research focuses on image cloud database and the function of similarity search, which allows users to search within the database for images that are similar to the ones they provide as queries. To enhance security for such database, we propose a framework of privacy-enhanced search scheme, while all the images in the database are encrypted, and similarity image search is still supported. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
With the increasing use of Cloud Service in recent years, its security vulnerabilities becomes a bigger concern, for one reason that users' data are stored in cloud database as plaintext and can be easily accessed by the Cloud Service Provider. Especially for multimedia databases, which usually contain more sensitive information, data leakage will endanger users' privacy more seriously. This research focuses on image cloud database and the function of similarity search, which allows users to search within the database for images that are similar to the ones they provide as queries. To enhance security for such database, we propose a framework of privacy-enhanced search scheme, while all the images in the database are encrypted, and similarity image search is still supported. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA12628305 |
書誌情報 |
研究報告セキュリティ心理学とトラスト(SPT)
巻 2016-SPT-17,
号 23,
p. 1-5,
発行日 2016-02-25
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8671 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |