SaTC: CORE: Small: Realizing Enhanced Authentication in the Mobile Era

移动设备是我们生活中不可或缺的一部分，但也可能对安全和隐私构成严重威胁，例如未经授权访问安全敏感的用户数据和服务。本项目探索人类生理学，以发现人类语音产生系统的新生物识别技术，以增强移动设备上的用户认证。这些新颖的生物特征是通过移动设备上的各种传感器捕获和推断出来的。该项目还研究了在移动设备上部署发现的生物识别技术以提高安全性的可行性。这项工作导致了一种新型的可实际部署的移动身份验证生物特征。该项目的成果可以被行业采用，并可能对促进各种安全敏感的移动服务和应用产生社会影响。这些研究活动被整合到佛罗里达州立大学的计算机科学教育项目中，包括课程开发、少数族裔在计算机领域的参与以及K-12教育推广。本项目探索移动设备的传感能力，以捕获用户的新生物特征，以增强移动身份验证。这项工作通过针对人类语音产生系统的生理和行为特征进行创新，例如骨传导振动和发音手势，用于移动设备用户认证。该项目开发了新的传感技术来捕获发现的生物特征，并系统地研究了在硬件和环境可变性方面在移动设备上实施新型生物特征的实用性。了解设备硬件和环境可变性的影响有助于加强发现的生物特征，使其适应环境和行为的变化。在多模式和多因素认证框架下，对发现的生物特征进行评估并与现有的移动认证方法集成。本研究的结果可以通过考虑人类语音信号和移动设备的感知能力来加深我们对移动设备认证的理解。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Mobile devices are an integral part of our lives, but can pose serious security and privacy threats, such unauthorized access to security-sensitive user data and services. This project explores human physiology to discover new biometrics of the human speech production system to enhance user authentication on mobile devices. These novel biometrics are captured and inferred using a variety of sensors that are present on mobile devices. The project also investigates the feasibility to deploy the discovered biometrics on mobile devices to improve security. The work leads to a new type of practically deployable biometric traits for mobile authentication. The outcomes of this project can be adopted by industry and could have a societal impact on facilitating a variety of security-sensitive mobile services and applications. The research activities are integrated into the Florida State University's Computer Science education program and include curriculum development, involvement of underrepresented minorities in computing, and K-12 educational outreach.This project explores the sensing capabilities of mobile devices to capture new biometrics of users for enhanced mobile authentication. The work innovates by targeting physiological and behavioral characteristics of the human speech production system, such as bone-conducted vibration and articulatory gestures, for mobile device user authentication. The project develops novel sensing techniques to capture the discovered biometrics, and systematically investigates the practicalities of implementing the novel biometrics on mobile devices in terms of hardware and context variability. Understanding the impact of device hardware and context variability helps strengthen the discovered biometric traits, by adapting them to drifts in contexts and behaviors. The discovered biometrics are evaluated and integrated with existing mobile authentication methods under a multimodal and multifactor authentication framework. The outcomes of this research can deepen our understanding of mobile devices authentication by considering human speech signals and the sensing capabilities of mobile devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.