Dynamic Usage Pattern Analysis for Efficient On-device Authentication

黑莓希望在其企业移动性管理软件中添加所谓的“连续认证”(CA)解决方案，其中系统智能地选择认证请求和访问决策，以便将用户必须认证的次数降至最低，同时在不安全的情况下(例如，不受信任的一方拿起放在桌子上的电话)暂时拒绝接入或强制重新认证。这将减少用户身份验证和访问授权的干扰，同时提高公司安全解决方案的效率和有效性。在以企业为中心的环境中对持续身份验证方法的改进将使BlackBerry能够改进IT经理可用的端点**管理方法。*虽然CA技术已被开发用于手持设备，但有两个长期存在的限制，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，这限制了它们可以部署的范围。例如，人脸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，即使使用云资源进行辅助也是如此。其次，它们没有考虑到细粒度的企业背景因素，无论是为了生物测定行为识别还是认证目的。例如，使用给定成本调用重新身份验证技术的决定还应取决于被访问项目的敏感性：在高风险环境中调用成本较高的语音识别可能是合理的，因为它们不在低风险环境中。*为了解决这两个限制，我们提出了一种基于对手持设备的屏幕、键盘、触摸活动和应用程序行为的分析的多级、多源身份验证系统。虽然该项目将探索特定的生物和行为指标集合，但该系统将为优化多源**身份验证部署提供一个通用框架。*成功后，该项目将提高黑莓在企业市场上与微软、IBM和Citrix等大公司竞争的竞争力。该项目还将直接使加拿大境内的公司、政府和个人从黑莓提出并推向市场的创新中受益。

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.