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Empirical Evaluation Of Combining Unobtrusiveness And Security Requirements In Multimodal Biometric Systems

机译:多模式生物特征识别系统结合安全性和安全性要求的经验评估

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摘要

Unobtrusive user authentication is more convenient than explicit interaction and can also increase system security because it can be performed frequently, unlike the current 'once explicitly and for a long time' practice. Existing unobtrusive biometrics (e.g., face, voice, gait) do not perform sufficiently well for high-security applications, however, while reliable biometric authentication (e.g., fingerprint or iris) requires explicit user interaction. This work presents experiments with a cascaded multimodal biometric system, which first performs unobtrusive user authentication and requires explicit interaction only when the unobtrusive authentication fails. Experimental results obtained for a database of 150 users show that even with a fairly low performance of unobtrusive modalities (Equal Error Rate above 10%), the cascaded system is capable of satisfying a security requirement of a False Acceptance Rate less than 0.1% with an overall False Rejection Rate of less than 0.2%, while authenticating unobtrusively in 65% of cases.
机译:不打扰的用户身份验证比显式交互更为方便,并且还可以提高系统安全性,因为它可以频繁执行,这与当前的“一次显式且长时间”的做法不同。现有的不干扰生物特征(例如,面部,声音,步态)对于高安全性应用而言不能很好地执行,但是,可靠的生物特征认证(例如,指纹或虹膜)需要明确的用户交互。这项工作提出了级联多峰生物特征识别系统的实验,该系统首先执行非侵入式用户身份验证,并且仅在非侵入式身份验证失败时才需要显式交互。从150个用户的数据库中获得的实验结果表明,即使在非干扰性模态的性能相当低(等于10%的平均错误率)的情况下,级联系统也能够满足错误接受率小于0.1%的安全性要求。总体上,错误拒绝率低于0.2%,而在65%的情况下,身份验证不被干扰。

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