Dynamic Usage Pattern Analysis for Efficient On-device Authentication

动态使用模式分析，实现高效的设备端身份验证

• 批准号: 530495-2018
• 负责人: He, Wenbo
• 金额: $ 1.66万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653302
• 关键词: Dynamic; Usage; Pattern; Analysis; Efficient

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.

BlackBerry希望将所谓的“连续认证”（CA）解决方案添加到其企业移动性管理软件中，其中智能地选择系统的认证请求和访问决策，使得用户必须认证的次数最小化，同时还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）。这将使用户身份验证和访问赠款的侵入性降低，同时提高公司安全解决方案的效率和有效性。在以网络为中心的环境中改进持续身份验证方法将使BlackBerry能够改进IT经理可用的端点 ** 管理方法。*虽然CA技术已经被开发用于手持设备，但有两个持续的限制，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，这限制了它们的部署范围。例如，面部或语音识别是资源密集型的，并且太昂贵而不能在设备上连续运行以进行连续认证，即使云资源被用于辅助。其次，它们没有考虑到细粒度的企业背景因素，无论是生物特征行为识别还是身份验证。例如，调用具有给定成本的重新认证技术的决策还应取决于所访问项目的敏感性：调用成本更高的语音识别在高风险环境中可能是成本合理的，而不是在低风险环境中。为了解决这两个限制，我们提出了一个多层次，多源认证系统的基础上分析的屏幕，键盘，触摸活动，和应用程序的手持设备的行为。虽然该项目将探索生物和行为指标的特定集合，但该系统将提供一个用于优化多源 ** 身份验证部署的通用框架。成功后，该项目将提高黑莓在企业市场的竞争力，与微软，IBM和Citrix等大公司竞争，该项目还将直接使加拿大的公司，政府和个人受益于黑莓提出并推向市场的创新。