Multi-Modal Continuous Transparent Biometric Authentication for Mobile Devices

“现代移动的手持设备能够通过多种网络上的广泛应用提供大量的多媒体服务。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相关。全球用户超过50亿，对移动的设备的依赖日益增加，这就提出了对超出传统入境点的可靠和稳健的最终用户核查技术的安全要求。 本项目将分析为移动的设备开发多模式连续透明认证架构的可行性。拟议的解决方案将通过使用多种生物特征模式（面部识别、指纹分析、行为特征分析）来持续和透明地认证最终用户，从而大大增强目前最先进的认证方法。建议的架构将为最终用户提供一个方便的，非侵入性的，特定于应用程序的认证方法，能够了解不同的风险水平和要求的个别应用程序。 拟议的架构利用现有的硬件技术，如面部识别、指纹分析、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对他们进行身份验证。该解决方案是可扩展的，并为其他身份验证模式提供了进一步的机会，例如智能手表身体活动识别。"

"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."