Client-side multi-agent system for contextual private data management for e-commerce and m-commerce on the semantic web

用于语义网络上电子商务和移动商务的上下文私有数据管理的客户端多代理系统

• 批准号: 203111-2006
• 负责人: Jutla, Dawn
• 金额: $ 1.39万
• 依托单位: Saint Mary's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=392686
• 关键词: Client; side; multi; agent; system

Existing private data management and related privacy enhancing tools (PETs), aimed at increasing the users' control over their private information, are fragmented, limited in capability and usability, and thus are far from suitable for wide scale user adoption. There is also an urgent need for client-side technologies to complement, and thus strengthen the goals, of the enterprise technologies that organizations' employees use to protect and manage customers' private data, in accordance to recent legal guidelines in many countries. Currently, technology-based privacy solutions take a one-size-fits-all approach. This research's goals are to provide a high-level of customization around user decision-making depending on the contexts in which the user is being asked to release private information. Contexts and customization are important and useful mechanisms, as privacy, ethical, social, and economic concerns regarding data handling differ according to user profiles, customer, and other stakeholder groups. Such concerns differ too according to physical (spatial and temporal) situation and types of data. This research proposes a client-side private data management system to support users' contextual and privacy-aware data release to organizations when conducting commerce over the Internet and mobile networks.  Scientific problems that will be investigated include suitable socio-technical privacy architecture, knowledge representations to support privacy-aware user contexts in e-commerce and m-commerce, intelligence-based algorithms and agents for supporting these contexts, intelligent algorithms and personal agents for increasing privacy software usability, and novel agent-based privacy Web services and infrastructure. While the objectives of this research address scientific problems, the user-visible outcomes are technologies that enable users to make informed and highly-nuanced contextual decisions around releasing private data to organizations. The technologies will also alert users as to potential privacy problems, remind them of socio-economic contexts when conducting e- or m-commerce transactions, and allow users to organize and view reports on the private data they have given to organizations under particular circumstances.

现有的隐私数据管理和相关隐私增强工具(PETS)旨在增加用户对其隐私信息的控制，存在碎片化、功能和可用性有限的问题，远远不适合大规模用户采用。根据许多国家最近的法律准则，还迫切需要客户端技术来补充企业技术，从而加强企业技术的目标，这些企业技术是各组织的雇员用来保护和管理客户私人数据的。目前，基于技术的隐私解决方案采取一刀切的方法。这项研究的目标是根据用户被要求发布私人信息的环境，提供围绕用户决策的高级定制。上下文和定制是重要而有用的机制，因为有关数据处理的隐私、伦理、社会和经济问题因用户配置文件、客户和其他利益相关者群体而异。这些关切也因物理(空间和时间)情况和数据类型而不同。这项研究提出了一个客户端私有数据管理系统，以支持用户在互联网和移动网络上进行商业活动时向组织发布上下文和隐私意识的数据。将研究的科学问题包括合适的社会技术隐私体系结构，支持电子商务和移动商务中隐私意识的用户上下文的知识表示，支持这些上下文的基于智能的算法和代理，用于提高隐私软件可用性的智能算法和个人代理，以及新颖的基于代理的隐私Web服务和基础设施。虽然这项研究的目标是解决科学问题，但用户可见的结果是使用户能够围绕向组织发布私人数据做出知情和高度细微的背景决定的技术。这些技术还将提醒用户潜在的隐私问题，提醒他们在进行电子商务或移动商务交易时的社会经济背景，并允许用户组织和查看他们在特定情况下向组织提供的私人数据的报告。