基于密码的语音密码密钥再生

K. Inthavisas, D. Lopresti
{"title":"基于密码的语音密码密钥再生","authors":"K. Inthavisas, D. Lopresti","doi":"10.1109/IJCB.2011.6117553","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a way to combine a password with a speech biometric cryptosystem. We present two schemes to enhance verification performance in a biometric cryptosystem using password. Both can resist a password brute-force search if biometrics are not compromised. Even if the biometrics are compromised, attackers have to spend many more attempts in searching for cryptographic keys when we compare ours with a traditional password-based approach. In addition, the experimental results show that the verification performance is significantly improved.","PeriodicalId":103913,"journal":{"name":"2011 International Joint Conference on Biometrics (IJCB)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Speech cryptographic key regeneration based on password\",\"authors\":\"K. Inthavisas, D. Lopresti\",\"doi\":\"10.1109/IJCB.2011.6117553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a way to combine a password with a speech biometric cryptosystem. We present two schemes to enhance verification performance in a biometric cryptosystem using password. Both can resist a password brute-force search if biometrics are not compromised. Even if the biometrics are compromised, attackers have to spend many more attempts in searching for cryptographic keys when we compare ours with a traditional password-based approach. In addition, the experimental results show that the verification performance is significantly improved.\",\"PeriodicalId\":103913,\"journal\":{\"name\":\"2011 International Joint Conference on Biometrics (IJCB)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Joint Conference on Biometrics (IJCB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCB.2011.6117553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Joint Conference on Biometrics (IJCB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCB.2011.6117553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

在本文中,我们提出了一种将密码与语音生物识别密码系统相结合的方法。提出了两种利用密码提高生物特征密码系统验证性能的方案。如果生物识别技术没有受到损害,两者都可以抵御密码暴力搜索。即使生物识别技术被破坏,当我们将我们的方法与传统的基于密码的方法进行比较时,攻击者也不得不花费更多的尝试来搜索加密密钥。此外,实验结果表明,该算法的验证性能得到了显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech cryptographic key regeneration based on password
In this paper, we propose a way to combine a password with a speech biometric cryptosystem. We present two schemes to enhance verification performance in a biometric cryptosystem using password. Both can resist a password brute-force search if biometrics are not compromised. Even if the biometrics are compromised, attackers have to spend many more attempts in searching for cryptographic keys when we compare ours with a traditional password-based approach. In addition, the experimental results show that the verification performance is significantly improved.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信