Information Transparency for Privacy through Trust

通过信任实现信息透明度和隐私

• 批准号: RGPIN-2017-05381
• 负责人: Marsh, Stephen
• 金额: $ 1.46万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634695
• 关键词: Information; Transparency; Privacy; through; Trust

Our personal information is continually shared amongst personal devices, 'things' in the Internet of Things (IoT), online social media and other websites, and more. Whilst sometimes seemingly innocuous, it is potentially linkable and can be mined to build quite accurate pictures of us. Tools, such as Privacy Enhancing Technologies, are available to help us better manage this, and other tools, Transparency Enhancing Technologies, help in both legal and practical settings to enhance our awareness of where our information is and how it is potentially used and shared. However, Many of these tools are difficult to use or understand, and the result is a lack of needed awareness, and a lack of use. We are examining how to use human social concepts, such as trust, regret, comfort and wisdom, to enhance these technologies and aid in understanding and increased awareness and use. This will result in active, socially enhanced Transparency Technologies that are contextually aware and human oriented. We are further engaged in practical applications of these social norms in the development of autonomous agents that embed the notion of active Transparency and Privacy, to enable information to travel between systems yet remain protected and aware of their context, and the requirements of their owners (us) in how they share themselves.

我们的个人信息在个人设备、物联网(IoT)、在线社交媒体和其他网站等之间不断共享。虽然有时看起来是无害的，但它是潜在的可链接的，可以被挖掘来建立相当准确的我们的照片。隐私增强技术等工具可帮助我们更好地管理这一点，而其他工具透明度增强技术可在法律和实际环境中帮助我们提高对信息所在位置以及潜在使用和共享方式的认识。然而，这些工具中的许多都很难使用或理解，结果是缺乏必要的意识，缺乏使用。我们正在研究如何利用信任、后悔、舒适和智慧等人类社会概念来加强这些技术，并帮助理解和提高认识和使用。这将导致积极的、社会增强的透明技术，这些技术具有背景感知和以人为本的特点。我们进一步致力于这些社会规范的实际应用，以开发嵌入主动透明和隐私概念的自主代理，使信息能够在系统之间传输，同时保持对其上下文的保护和了解其所有者(我们)在如何共享自身方面的要求。