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Applying Privacy Patterns to the Internet of Things' (IoT) Architecture

机译:将隐私模式应用于事物互联网(IOT)架构

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摘要

The concept of cloud computing relies on central large datacentres with huge amounts of computational power. The rapidly growing Internet of Things with its vast amount of data showed that this architecture produces costly, inefficient and in some cases infeasible communication. Thus, fog computing, a new architecture with distributed computational power closer to the IoT devices was developed. So far, this decentralised fog-oriented architecture has only been used for performance and resource management improvements. We show how it could also be used for improving the users' privacy. For that purpose, we map privacy patterns to the IoT / fog computing / cloud computing architecture. Privacy patterns are software design patterns with the focus to translate privacy-by-design into practical advice. As a proof of concept, for each of the used privacy patterns we give an example from a smart vehicle scenario to illustrate how the patterns could improve the users' privacy.
机译:云计算的概念依赖于中央大型数据中心,具有大量的计算能力。随着其大量数据的快速增长的东西互联网表明,这种架构的昂贵,效率低下,在某些情况下不可行的通信。因此,开发了雾计算,开发了一种具有靠近物联网设备的分布式计算功率的新架构。到目前为止,这座可分散的迷人架构仅用于性能和资源管理改进。我们展示了如何用于改善用户的隐私。为此目的,我们将隐私模式映射到物联网/雾计算/云计算架构。隐私模式是软件设计模式,重点是将隐私设计转换为实际建议。作为概念证明,对于每个二手隐私模式,我们举例说明智能车辆场景的示例,以说明模式如何提高用户的隐私。

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