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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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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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)中的“事物”、在线社交媒体和其他网站等之间不断共享。虽然有时看起来无害,但它具有潜在的链接性,可以被挖掘出来,构建出相当准确的我们的照片。诸如隐私增强技术之类的工具可以帮助我们更好地管理这些信息,而其他诸如透明度增强技术之类的工具可以在法律和实际环境中帮助我们增强对信息位置及其可能被使用和共享方式的认识。然而,这些工具中的许多都难以使用或理解,其结果是缺乏必要的意识和使用。我们正在研究如何利用人类的社会概念,如信任、后悔、舒适和智慧,来增强这些技术,帮助人们理解、提高认识和使用。这将导致积极的、社会增强的透明技术,这些技术具有上下文意识和以人为本。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度和隐私的概念,使信息在系统之间传播,同时保持保护和意识到它们的上下文,以及它们的所有者(我们)对如何共享自己的要求。***这项工作将推动当前隐私技术的发展,特别是(1)人类对隐私的意识和信息流在年轻和新兴技术中的影响,如物联网和无处不在的计算,以及成熟但正在发展的技术,如移动和超个人计算,以及(2)这些系统中对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,一个意识到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:具有隐私意识的人工系统可以帮助执行信息流标准,在如何共享和处理信息方面纳入强有力的保护行为,并形成一个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和软安全专家进入劳动力市场。技术和社会理解的结合将为他们选择的职业道路提供良好的服务。
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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