Study of cloud computing security based on private face recognition

Chenguang Wang; Huaizhi Yan

doi:10.1109/CISE.2010.5676941

Study of cloud computing security based on private face recognition

Chenguang Wang^*
, Huaizhi Yan

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

19 引用（Scopus）

摘要

Supporting study of a method to solve cloud computing security issue with private face recognition. The method has three parts: user part provides face images; cloud initialization part has a face subspace and templates database; cloud private matching identification part contains the core algorithm of the method, comparing two encrypted numbers under double-encrypted conditions. The experimental results show the method can ensure that cloud neither know user's real face data, nor the face private matching identification result, to make user's face data secure, we develop a credible, efficient, low-complex method to guarantee cloud computing security.

源语言	英语
主期刊名	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
DOI	https://doi.org/10.1109/CISE.2010.5676941
出版状态	已出版 - 2010
已对外发布	是
活动	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 - Wuhan, 中国期限: 10 12月 2010 → 12 12月 2010

丛书

姓名	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

会议

会议	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
国家/地区	中国
市	Wuhan
时期	10/12/10 → 12/12/10

访问文件

10.1109/CISE.2010.5676941

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链接到 Scopus 的出版物

引用此

@inproceedings{df35cc0873164557b3cf80ac4da1cbca,

title = "Study of cloud computing security based on private face recognition",

abstract = "Supporting study of a method to solve cloud computing security issue with private face recognition. The method has three parts: user part provides face images; cloud initialization part has a face subspace and templates database; cloud private matching identification part contains the core algorithm of the method, comparing two encrypted numbers under double-encrypted conditions. The experimental results show the method can ensure that cloud neither know user's real face data, nor the face private matching identification result, to make user's face data secure, we develop a credible, efficient, low-complex method to guarantee cloud computing security.",

keywords = "Cloud computing security, Face recognition, Private matching identification",

author = "Chenguang Wang and Huaizhi Yan",

year = "2010",

doi = "10.1109/CISE.2010.5676941",

language = "English",

isbn = "9781424453924",

series = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010",

booktitle = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010",

note = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 ; Conference date: 10-12-2010 Through 12-12-2010",

}

Wang, C & Yan, H 2010, Study of cloud computing security based on private face recognition. 在 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010., 5676941, 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010, 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010, Wuhan, 中国, 10/12/10. https://doi.org/10.1109/CISE.2010.5676941

Study of cloud computing security based on private face recognition. / Wang, Chenguang; Yan, Huaizhi.
2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010. 2010. 5676941 (2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Study of cloud computing security based on private face recognition

AU - Wang, Chenguang

AU - Yan, Huaizhi

PY - 2010

Y1 - 2010

N2 - Supporting study of a method to solve cloud computing security issue with private face recognition. The method has three parts: user part provides face images; cloud initialization part has a face subspace and templates database; cloud private matching identification part contains the core algorithm of the method, comparing two encrypted numbers under double-encrypted conditions. The experimental results show the method can ensure that cloud neither know user's real face data, nor the face private matching identification result, to make user's face data secure, we develop a credible, efficient, low-complex method to guarantee cloud computing security.

AB - Supporting study of a method to solve cloud computing security issue with private face recognition. The method has three parts: user part provides face images; cloud initialization part has a face subspace and templates database; cloud private matching identification part contains the core algorithm of the method, comparing two encrypted numbers under double-encrypted conditions. The experimental results show the method can ensure that cloud neither know user's real face data, nor the face private matching identification result, to make user's face data secure, we develop a credible, efficient, low-complex method to guarantee cloud computing security.

KW - Cloud computing security

KW - Face recognition

KW - Private matching identification

UR - https://www.scopus.com/pages/publications/79951597481

U2 - 10.1109/CISE.2010.5676941

DO - 10.1109/CISE.2010.5676941

M3 - Conference contribution

AN - SCOPUS:79951597481

SN - 9781424453924

T3 - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

BT - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

T2 - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

Y2 - 10 December 2010 through 12 December 2010

ER -

Study of cloud computing security based on private face recognition

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