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Taxonomy of Biometric-based Authentication Schemes for Mobile Computing Devices

机译:移动计算设备基于生物识别的身份验证方案的分类

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In this paper, we provide a comprehensive review of state-of-the-art results for biometric-based authentication schemes in mobile computing devices. We select and examine twenty biometric-based authentication schemes developed for mobile computing devices. We discuss current issues that hinder biometrics models' development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). Threat models and countermeasures used by biometrics-based authentication schemes for mobile computing devices are also presented. Throughout, we identify the pitfalls and limitations of the existing biometric-based authentication schemes for mobile computing devices. Based on the current taxonomy, we discuss the research problems and outline directions for future research efforts in biometrics-based authentication schemes for mobile devices.
机译:在本文中,我们对移动计算设备中的基于生物识别的身份验证方案提供了全面的最先进结果的综述。我们选择并检查为移动计算设备开发的二十个基于生物识别的身份验证方案。我们讨论了当前妨碍生物识别模型的发布和部署大规模的现有问题,包括人类生理(例如,面部,眼睛,指纹 - 手掌或心电图)和行为特征(例如,签名,语音,步态或击键)。还提出了用于移动计算设备的基于生物识别的身份验证方案使用的威胁模型和对策。在整个过程中,我们识别用于移动计算设备的现有生物识别的身份验证方案的陷阱和限制。基于目前的分类法,我们讨论了移动设备基于生物识别的身份验证方案的未来研究工作的研究问题和轮廓方向。

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