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Fog Architectures and Sensor Location Certification in Distributed Event-Based Systems

机译:基于分布式事件的系统中的雾架构和传感器位置认证

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摘要

Since smart cities aim at becoming self-monitoring and self-response systems, their deployment relies on close resource monitoring through large-scale urban sensing. The subsequent gathering of massive amounts of data makes essential the development of event-filtering mechanisms that enable the selection of what is relevant and trustworthy. Due to the rise of mobile event producers, location information has become a valuable filtering criterion, as it not only offers extra information on the described event, but also enhances trust in the producer. Implementing mechanisms that validate the quality of location information becomes then imperative. The lack of such strategies in cloud architectures compels the adoption of new communication schemes for Internet of Things (IoT)-based urban services. To serve the demand for location verification in urban event-based systems (DEBS), we have designed three different fog architectures that combine proximity and cloud communication. We have used network simulations with realistic urban traces to prove that the three of them can correctly identify between 73% and 100% of false location claims.
机译:由于智慧城市旨在成为自我监控和自我响应系统,因此其部署依赖于通过大规模城市感知进行的紧密资源监视。随后收集的大量数据使事件过滤机制的发展变得至关重要,该机制使得能够选择相关且可信赖的内容。由于移动事件生产者的兴起,位置信息已成为一种有价值的过滤标准,因为它不仅提供了有关所描述事件的额外信息,而且还增强了对生产者的信任。因此,必须实施能够验证位置信息质量的机制。云架构中缺乏此类策略,迫使针对基于物联网(IoT)的城市服务采用新的通信方案。为了满足基于城市事件的系统(DEBS)中对位置验证的需求,我们设计了三种不同的雾化架构,这些架构将接近性和云通信结合在一起。我们已经使用具有真实城市痕迹的网络模拟来证明,这三个模型可以正确识别73%至100%的虚假位置声明。

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