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

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

17 Citations (Scopus)

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.

Original language	English
Title of host publication	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
DOIs	https://doi.org/10.1109/CISE.2010.5676941
Publication status	Published - 2010
Event	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 - Wuhan, China Duration: 10 Dec 2010 → 12 Dec 2010

Publication series

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

Conference

Conference	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
Country/Territory	China
City	Wuhan
Period	10/12/10 → 12/12/10

Keywords

Cloud computing security
Face recognition
Private matching identification

Access to Document

10.1109/CISE.2010.5676941

Cite this

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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. in 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, China, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yan, Huaizhi

PY - 2010

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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

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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

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Y2 - 10 December 2010 through 12 December 2010

ER -

Study of cloud computing security based on private face recognition

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