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Integrating Internet-of-Things with the power of Cloud Computing and the intelligence of Big Data analytics ??? A three layered approach

机译:将物联网与云计算功能和大数据分析智能集成在一起?三层方法

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This paper is written through the vision on integrating Internet-of-Things (IoT) with the power of Cloud Computing and the intelligence of Big Data analytics. But integration of all these three cutting edge technologies is complex to understand. In this research we first provide a security centric view of three layered approach for understanding the technology, gaps and security issues. Then with a series of lab experiments on different hardware, we have collected performance data from all these three layers, combined these data together and finally applied modern machine learning algorithms to distinguish 18 different activities and cyber-attacks. From our experiments we find classification algorithm RandomForest can identify 93.9% attacks and activities in this complex environment. From the existing literature, no one has ever attempted similar experiment for cyber-attack detection for IoT neither with performance data nor with a three layered approach.
机译:本文是基于将物联网(IoT)与云计算功能和大数据分析智能相集成的愿景而编写的。但是,所有这三种尖端技术的集成都很难理解。在本研究中,我们首先提供一个以安全性为中心的三层方法视图,以了解技术,差距和安全性问题。然后,通过在不同硬件上进行的一系列实验室实验,我们从这三层中收集了性能数据,将这些数据组合在一起,最后应用现代的机器学习算法来区分18种不同的活动和网络攻击。从我们的实验中,我们发现分类算法RandomForest可以识别这种复杂环境中93.9%的攻击和活动。根据现有文献,没有人尝试过使用性能数据或三层方法对物联网进行网络攻击检测的类似实验。

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