Information Transparency for Privacy through Trust

通过信任实现信息透明度和隐私

• 批准号: RGPIN-2018-05897
• 负责人: Marsh, Stephen
• 金额: $ 1.68万
• 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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=713604
• 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. This work will advance the current state of the art in privacy technologies, in particular in (1) the human awareness of privacy and the implications of information flow in young and emerging technologies such as IoT and ubiquitous computing, and established but growing technologies such as mobile and ultra-personal computing, and (2) the technological awareness of privacy and information flow in these systems. In the former, the benefit to Canada and Canadians is clear: privacy awareness is a public social good, and an aware community is a strong, enabled community. In the case of the former, the benefits are more diffuse: privacy aware artificial systems can hep enforce standards of information flow, incorporating strong protective behaviours for how to share and process information, and result in a more resilient information society comprised of people and technology. The work will fund the training of HQP (2 PhD, 2 Masters) who will enter the workforce as privacy and information use and soft security experts. The combination of technical and social understanding will serve them well in their chosen career path.

我们的个人信息不断在个人设备、物联网（IoT）中的“事物”、在线社交媒体和其他网站等之间共享。虽然有时看起来无害，但它是潜在的，可以被挖掘来构建我们的准确图片。隐私增强技术等工具可帮助我们更好地管理这些信息，而透明度增强技术等其他工具可在法律的和实际环境中帮助我们提高对信息所在位置以及信息可能如何使用和共享的认识。然而，这些工具中有许多很难使用或理解，结果是缺乏必要的意识，缺乏使用。我们正在研究如何利用人类的社会概念，如信任，遗憾，舒适和智慧，以加强这些技术和援助的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，是上下文感知和以人为本。我们进一步参与这些社会规范在自主代理开发中的实际应用，这些自主代理嵌入了主动透明和隐私的概念，使信息能够在系统之间传输，但仍然受到保护，并了解其上下文，以及其所有者（我们）在如何分享自己方面的要求。 这项工作将推进隐私技术的当前发展水平，特别是在（1）人类对隐私的认识以及物联网和无处不在的计算等新兴技术中信息流的影响，以及移动的和超个人计算等成熟但不断发展的技术，以及（2）这些系统中隐私和信息流的技术意识。在前者中，对加拿大和加拿大人的好处是显而易见的：隐私意识是一种公共社会利益，一个有意识的社区是一个强大的，有能力的社区。在前者的情况下，好处更加分散：隐私意识人工系统可以帮助执行信息流标准，为如何共享和处理信息纳入强有力的保护行为，并导致由人和技术组成的更具弹性的信息社会。 这项工作将资助HQP（2名博士，2名硕士）的培训，他们将作为隐私和信息使用以及软安全专家进入劳动力市场。技术和社会理解的结合将很好地为他们选择的职业道路服务。