Multi-Modal Continuous Transparent Biometric Authentication for Mobile Devices

他说：“现代的手提流动装置可透过多种网络，提供多种多样的多媒体服务。”这些服务主要由数据驱动，这些数据越来越多地与个人和商业敏感信息联系在一起。全球有超过50亿用户，对移动设备的依赖日益增加，这提高了对终端用户可靠和强大的验证技术的安全要求，超出了传统的入口点。该项目将分析为移动设备开发多模态连续和透明认证架构的可行性。提出的解决方案将通过使用多种生物识别模式（面部识别，击键分析，行为分析）来持续透明地验证最终用户，从而显着增强当前最先进的身份验证方法。所建议的体系结构将为最终用户提供一种方便的、非侵入性的、特定于应用程序的身份验证方法，这种方法能够理解各个应用程序的不同风险级别和需求。所提出的架构利用现有的硬件技术，如面部识别、击键分析、应用程序使用和指纹识别，根据最终用户的心理和行为特征，不断地对其进行身份验证。该解决方案具有可扩展性，并为智能手表的身体活动识别等其他认证方式提供了进一步的机会。”

"The modern mobile handheld device is capable of providing a plethora of multimedia services through a wide range of applications over multiple networks. These services are predominantly driven by data which is increasingly associated with personal and commercially sensitive information. There is an increasing dependence on mobile devices with more than 5 billion users globally and this raises the security requirement for reliable and robust verification techniques of end-users that extends beyond the traditional point-of-entry. This project will analyse the feasibility of developing a multi-modal continuous and transparent authentication architecture for mobile devices. The proposed solution will significantly enhance current state-of-the-art authentication approaches by using multiple biometric modalities (facial recognition, keystroke analysis, behavioural profiling) to continuously and transparently authenticate end-users. The proposed architecture will provide end-users with a convenient, non-intrusive, application specific authentication approach which is capable of understanding the different risk levels and requirements of individual applications. The proposed architecture utilises existing hardware technologies such as facial recognition, keystroke analysis, application usage and fingerprint recognition to continuously authenticate end-users based on their psychological and behavioural characteristics. This solution is scalable and provides further opportunities for additional authentication modalities such as smartwatch physical activity recognition."