.png){kind=icon}
返回
Encrypted speech retrieval based on long sequence Biohashing
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-022-12371-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes a Encrypted speech retrieval based on long sequence Biohashing to solve the problem of plaintext data leakage in the existing speech retrieval system, and improve the efficiency and accuracy of speech retrieval, the diversity and revocability of biometric template. According to speech feature classification, a biometric template with a single mapping key is established, and then the feature vector is used to generate speech feature index, and the speech file is encrypted by the improved SHA256 algorithm, and finally, feature index and encrypted speech are sent to the cloud. For the input speech, the feature vector is generated at the mobile, and then the cloud will retrieve the feature vector table according to the feature vector to obtain the feature index of the speech, and finally, the feature index only matches the feature index related to the speech in the feature index table. Experimental results show that this algorithm can not only effectively prevent the leakage of plaintext, but also has good diversity and revocability of biometric template. At the same time, the algorithm not only has good efficiency and accuracy, but also solves the problem of speech retrieval after content preservation operation.
Keyword:
Encrypted speech retrieval
Biometric template
Long sequence
Biohashing
Improved SHA256
Content preservation operation
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
机构
引用论文
Hiding cipher-images generated by 2-D compressive sensing with a multi-embedding strategy使用多嵌入策略隐藏由2-D压缩感知生成的密码图像.png)
SIGNAL PROCESSING
SIGNAL PROCESSINGIF3.6
PREAI
分享收藏分享收藏Political alignment and intergovernmental transfers in parliamentary systems: evidence from Germany
PREAI
分享收藏The role of leaf traits and bird-mediated insect predation on patterns of herbivory in a semiarid environment in central Mexico叶片性状及鸟类介导的昆虫捕食在墨西哥中部半干旱环境中食草性损害模式中的作用
OAAI
OAAI分享收藏Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopyNATURE PHOTONICS
NATURE PHOTONICSIF32.9
PREAI
分享收藏
查看更多内容