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Information Transparency for Privacy through Trust

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
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
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,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。*这项工作将促进隐私技术的当前技术水平,特别是在(1)人类对隐私的意识以及信息流在年轻的新兴技术(如物联网和无处不在的计算)中的影响,以及诸如移动和超个人计算等成熟但不断增长的技术,以及(2)这些系统中的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公益,而有意识的社区是一个强大的、有能力的社区。就前者而言,好处更为广泛:具有隐私意识的人工系统可以强制执行信息流的标准,纳入有关如何共享和处理信息的强大保护行为,并导致一个由人和技术组成的更具弹性的信息社会。*这项工作将为培训HQP(两个博士、两个硕士)提供资金,这些人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在他们选择的职业道路上很好地帮助他们。
英文摘要
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.
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Information Transparency for Privacy through Trust
Information Transparency for Privacy through Trust
Information Transparency for Privacy through Trust
Information Transparency for Privacy through Trust
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