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

移动的设备是我们生活中不可或缺的一部分，但可能会造成严重的安全和隐私威胁，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特征，从而增强移动的设备上的用户认证。这些新颖的生物特征是使用存在于移动的设备上的各种传感器来捕获和推断的。该项目还调查了在移动的设备上部署所发现的生物特征以提高安全性的可行性。这项工作导致了一种新型的实际部署的生物特征的移动的身份验证。该项目的成果可被行业采纳，并可能对促进各种安全敏感的移动的服务和应用产生社会影响。该研究活动被整合到佛罗里达州立大学的计算机科学教育计划，包括课程开发，在计算中代表性不足的少数民族的参与，和K-12教育outreach.This project explores the sensing capabilities of移动的devices to capture new biometrics of users for enhanced移动的authentication.这项工作的创新目标是人类语音产生系统的生理和行为特征，如骨传导振动和发音手势，用于移动终端用户认证。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上下文变化方面在移动的设备上实现新的生物特征的实用性。了解设备硬件和环境变化的影响有助于加强发现的生物特征，通过使它们适应环境和行为的漂移。发现的生物特征进行评估，并与现有的移动的身份验证方法下的多模态和多因素的身份验证框架。通过考虑人类语音信号和移动的设备的感知能力，这项研究的成果可以加深我们对移动的设备认证的理解。该奖项反映了NSF的法定使命，并通过使用基金会的智力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.