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Privacy-Related Context Information for Ubiquitous Health

机译:无处不在的健康与隐私相关的上下文信息

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Background Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Objective Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Methods Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Results Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components are regulated or in what kind of environment data can be processed. Conclusions This study added to the vision of ubiquitous health by analyzing information processing from the viewpoint of an individual’s privacy. We learned that health and wellness-related activities may happen in several environments and situations with multiple stakeholders, services, and systems. We have provided new knowledge regarding privacy-related context information and corresponding components by analyzing typical activities in ubiquitous health. With the identified components and their properties, individuals can define their personal preferences on information processing based on situational information, and privacy services can capture privacy-related context of the information-processing situation.
机译:背景技术无处不在的健康状况已定义为相互连接的系统的动态网络。一个系统由一个或多个信息系统,其利益相关者和环境组成。这些系统为个人提供健康服务,从而实现了无处不在的计算。由于自主处理,丰富的上下文元数据,参与者之间缺乏预定义的信任以及业务目标,隐私是普遍存在的健康面临的主要挑战。此外,个人可能不了解利益相关者的法规和政策。需要上下文敏感的隐私策略来规范信息处理。目的我们的目标是分析与隐私相关的上下文信息,并定义支持无处不在的健康中的隐私管理的相应组件及其属性。这些属性应描述信息处理的隐私问题。借助组件及其属性,个人可以定义上下文感知的隐私策略,并设置其隐私首选项,这些首选项可以在不同的信息处理情况下发生变化。方法使用场景和用户故事来分析普遍存在的健康中的典型活动,以识别主要参与者,目标,任务和利益相关者。上下文来自活动,因此,我们可以确定不同的情况,服务和系统,以标识信息处理情况下与隐私相关的上下文信息的属性。结果与隐私相关的上下文信息组件包括情况,环境,个人,信息技术系统,服务和利益相关者。结合我们的分析和先前确定的普遍存在的健康特征,可以定义组件的更详细属性。属性明确定义了用于创建可以控制,限制和约束信息处理的上下文感知隐私策略所需的不同组件的上下文信息。通过属性,我们可以定义例如数据的处理方式或组件的监管方式,或在何种环境下数据可以处理。结论通过从个人隐私的角度分析信息处理,本研究增加了普遍健康的视野。我们了解到,与健康相关的活动可能会在具有多个涉众,服务和系统的多种环境和情况下发生。通过分析普遍存在的健康中的典型活动,我们提供了与隐私相关的上下文信息和相应组件的新知识。借助已标识的组件及其属性,个人可以根据情况信息定义他们对信息处理的个人偏好,而隐私服务可以捕获信息处理情况的与隐私相关的上下文。

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