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Palpable Privacy through Declarative Information Flows Tracking for Smart Buildings

机译:通过声明式信息流跟踪实现智能建筑的可触知隐私

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Smart buildings are more and more common due to recent technological advances. They promise to improve users' lives, but they are packed with sensors that gather user related data, fueling ever increasing privacy infringement suspicions. Captured data usually takes the form of dynamic streams, hence such buildings can naturally be programmed using Data Stream Management Systems (DSMSs) that execute long-running queries on data flowing from sensors. In this paper we address the problem of the dissemination control of private data, encountered in smart buildings. We introduce Tuple-Based Access Control (TBAC), a novel access control model that tracks sensor information flows in a DSMS. We provide users with the ability to enforce easy-to-understand, intuitive security policies on sensor-produced data. When such data are combined by queries in the system, so are their security policies, hence data access control is disseminated throughout the system. We argue that such a model is mandatory to ease the acceptance of smart buildings. Nevertheless, TBAC can also be relevant to other scenarios involving dissemination of aggregable private data.
机译:由于最近的技术进步,智能建筑越来越普遍。他们承诺改善用户的生活,但是它们装有传感器,可以收集与用户有关的数据,从而加剧了对侵犯隐私权的怀疑。捕获的数据通常采用动态流的形式,因此可以使用数据流管理系统(DSMS)对此类建筑物进行自然编程,该系统对从传感器流出的数据执行长时间运行的查询。在本文中,我们解决了智能建筑中遇到的私有数据的分发控制问题。我们介绍了基于元组的访问控制(TBAC),这是一种新颖的访问控制模型,可在DSMS中跟踪传感器信息流。我们为用户提供了对传感器生成的数据实施易于理解的直观安全策略的能力。当此类数据由系统中的查询合并时,它们的安全策略也会合并,因此,数据访问控制将散布到整个系统中。我们认为,这种模型对于简化智能建筑的接受是必不可少的。但是,TBAC也可能与其他涉及可聚集的私人数据传播的场景有关。

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