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

机译:将隐私模式应用于物联网(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具有大量计算能力的中央大型数据中心。快速发展的物联网及其海量数据表明,这种架构产生了昂贵,低效的通信,在某些情况下还无法实现。因此,开发了雾计算,这是一种分布式计算能力更接近物联网设备的新架构。到目前为止,这种分散的面向雾的体系结构仅用于性能和资源管理的改进。我们展示了如何将其也用于改善用户的隐私。为此,我们将隐私模式映射到IoT /雾计算/云计算架构。隐私模式是软件设计模式,其重点是将按设计的隐私转换为实用建议。作为概念的证明,对于每种使用的隐私模式,我们从智能车辆场景中给出一个示例,以说明这些模式如何改善用户的隐私。

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