Dynamic Usage Pattern Analysis for Efficient On-device Authentication

黑莓希望在其企业移动管理软件中添加所谓的“持续认证”（CA）解决方案，其中系统智能地选择认证请求和访问决策，以便用户必须进行身份验证的次数最小化，同时在不安全的情况下暂时拒绝访问或强制重新认证（例如，不受信任的一方拿起放在桌子上的电话）。这将减少用户身份验证和访问授权的侵入性，同时提高公司安全解决方案的效率和有效性。在企业级环境中对持续认证方法的改进将使黑莓能够改进IT经理可用的端点管理方法。****虽然CA技术是为在手持设备中使用而开发的，但是有两个持久的限制限制了它们在企业环境中的使用和应用。首先，它们是资源密集型的，这限制了它们的应用范围。例如，面部或语音识别是资源密集型的，而且成本太高，无法在设备上持续运行以进行持续身份验证，即使使用云资源来辅助也是如此。其次，它们没有考虑到细粒度的企业上下文因素，无论是出于生物特征行为识别还是身份验证的目的。例如，以给定成本调用重新身份验证技术的决策还应取决于所访问项目的敏感性：在高风险上下文中调用成本较高的语音识别可能是成本合理的，而不是在低风险上下文中。****为了解决这两个限制，我们提出了一个基于屏幕、键盘、触摸活动和手持设备应用行为分析的多层次、多源认证系统。虽然该项目将探索生物和行为指标的特定集合，但该系统将为优化多源身份验证部署提供一个通用框架。****一旦成功，这个项目将提高黑莓在企业市场的竞争力，与大公司，如微软，IBM， Citrix等竞争。这个项目也将直接受益公司，政府，和个人在加拿大从创新提出，并带来了市场的黑莓。

BlackBerry wishes to add so-called "continuous authentication" (CA) solutions to its enterprise mobility management software, wherein authentication requests and access decisions by the system are chosen intelligently so that the number of times users must authenticate is minimized, while also temporarily denying access or forcing re-authentication in insecure situations (e.g., an untrusted party picking up a phone placed on a table). This would make user authentication and access grants less intrusive while simultaneously improving efficiency and effectiveness of security solutions for the company. Improvements to continuous authentication approaches in Enterprise-focused contexts would enable BlackBerry to improve endpoint**management methods available to IT managers.****While CA techniques have been developed for use in handheld devices, there are two persistent limitations that restrict their use and application in enterprise contexts. First, they resource intensive, which limits how widely they can be deployed. For example, face or speech recognition is resource intensive and too expensive to continuously run on a device for continuous authentication, even if cloud resources are being used to assist. Second, they fail to take into account fine-grained enterprise context factors, both for biometric behaviour identification and authentication purposes. For example, the decisions to invoke a re-authentication technique with a given cost should also depend upon sensitivity of the items being accessed: invoking costlier speech recognition might be cost justified in high-risk contexts where they are not in low-risk contexts.****To address these two limitations we propose a multi-level, multi-source authentication system based on analysis of screen, keyboard, touch activity, and application behaviour of handheld devices. While the project will explore a particular collection of bio- and behavior metrics, the system will provide a general framework for optimizing multi-source**authentication deployments.****Upon success, this project will improve the competitiveness of BlackBerry in Enterprise markets in competition with large companies such as Microsoft, IBM, and Citrix, etc. This project will also directly benefit companies, governments, and individuals within Canada from the innovations being proposed and brought to market by BlackBerry.