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Modeling privacy control in context-aware systems

机译:在上下文感知系统中建模隐私控制

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摘要

Significant complexity issues challenge designers of context-aware systems with privacy control. Information spaces provide a way to organize information, resources, and services around important privacy-relevant contextual factors. In this article, we describe a theoretical model for privacy control in context-aware systems based on a core abstraction of information spaces. We have previously focused on deriving socially based privacy objectives in pervasive computing environments. Building on Ravi Sandhu's four-layer OM-AM (objectives, models, architectures, and mechanisms) idea, we aim to use information spaces to construct a model for privacy control that supports our socially based privacy objectives. We also discuss how we can introduce decentralization, a desirable property for many pervasive computing systems, into our information space model, using unified privacy tagging.
机译:重大的复杂性问题挑战了具有隐私控制的上下文感知系统的设计人员。信息空间提供了一种围绕重要的隐私相关上下文因素组织信息,资源和服务的方法。在本文中,我们描述了基于信息空间的核心抽象的上下文感知系统中隐私控制的理论模型。我们以前一直专注于在普适计算环境中推导基于社会的隐私目标。在Ravi Sandhu的四层OM-AM(目标,模型,体系结构和机制)思想的基础上,我们旨在利用信息空间来构建隐私控制模型,以支持基于社会的隐私目标。我们还将讨论如何使用统一的隐私标记将去中心化功能(对于许多普适计算系统而言是理想特性)引入我们的信息空间模型中。

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