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Voiceprint-biometric template design and authentication based on cloud computing security

机译:基于云计算安全性的声纹生物模板设计与认证

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摘要

To improve the security of voiceprint storage and transmission, we present a novel voiceprint protection approach with homomorphic encryption and authentication scheme for cloud computing environment in this paper. System supports to calculate distortion measurement of voiceprint without disclosing the raw voiceprint data under the telebiometric functional model in the open network. The client contributes encrypted voiceprint data to the system, where components can perform queries and matching without decrypting the data in order to keep the security of biometrics. According to the analysis of theory, the proposal is secured because the voiceprint templates are diverse, cancelable and irreversible if the security parameters are secret. The experimental results demonstrated the authentication performance is unchanged. When the size of codebook is 32, FRR is 4%, while the size of codebook is 64, FRR is 3.2%. of
机译:为了提高声纹存储和传输的安全性,本文提出了一种针对云计算环境的具有同态加密和认证方案的声纹保护方法。系统支持计算声纹的失真测量,而无需在开放网络中的遥测功能模型下披露原始声纹数据。客户端向系统提供加密的声纹数据,组件可以在不解密数据的情况下执行查询和匹配,以保持生物识别技术的安全性。根据理论分析,该提议是安全的,因为如果安全参数是秘密的,则声纹模板是多种多样的,可取消的且不可逆的。实验结果表明认证性能没有变化。当码本的大小为32时,FRR为4%,而当码本的大小为64时,FRR为3.2%。的

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