Study of Cloud Computing Security Based on Private Face Recognition

Chenguang Wang, Huaizhi Yan
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引用次数: 29

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.
基于私有人脸识别的云计算安全研究
一种基于私有人脸识别解决云计算安全问题的方法支持研究。该方法分为三部分:用户部分提供人脸图像;云初始化部分具有人脸子空间和模板数据库;云私有匹配识别部分包含该方法的核心算法,在双重加密条件下对两个加密的数字进行比较。实验结果表明,该方法可以保证云既不知道用户的真实人脸数据,也不知道人脸私密匹配的识别结果,为使用户的人脸数据安全,我们开发了一种可信、高效、低复杂度的方法来保证云计算的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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