使用AWS kineesis平台进行物联网设备的高效数据分类

Nasreen S Quadri, Dr. Kusum Yadav
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引用次数: 4

摘要

在物联网(IoT)领域,从小型简单的设备到功能强大的设备,不同种类的物联网设备相互连接,不断进行通信。由于所有设备都是相互连接的,提供有效的数据分类和安全对于所有连接设备的信息转换非常重要,大多数研究并未在一个框架中对物联网数据分类进行深入研究,因为物联网很难管理所有资源,我们需要根据信息分类对各种物联网设备和物联网设备的安全要求进行分类。在本文中,我们调查了物联网设备中用于数据分类的不同技术,如本体方法,并详细研究了使用流数据的高效数据分类以及使用AWS Kinesis平台提供的不同服务的物联网设备的安全性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Data Classification for IoT Devices using AWS Kinesis Platform
In the Internet of Thing (IoT) field, different kinds of IoT devices from small and simple devices to powerful devices are connected to communicate with each other continuously. As all the devices are connected to each other, providing efficient data classification and security is important for transforming the information from all the connected devices Most researches did not provide a thorough study of IoT data classification in one frame work because it’s hard to manage all resources for IoT, We need to classify various IoT devices and security requirements of IoT devices depending on classification of information. In this paper we survey different techniques used for data classification in IoT devices like ontology approach and provide detail study of efficient data classification using stream data and security for IoT devices using different services provided by AWS Kinesis platform
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