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Security in Large-Scale Data Management and Distributed Data Acquisition

机译:大规模数据管理和分布式数据采集中的安全性

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The internet is about to change from a pure network of computers to a network of more or less intelligent devices, the computer being just one of them. Examples of this change are the concepts of smart applications like smart homes, smart traffic control and guidance systems, smart power grids, or smart buildings. These systems require among others a high degree of robustness, reliability, scalability, safety, and security. In this paper, we concentrate on the data exchange and management aspect and introduce a security concept for scalable and easy-to-use Generic Data Services, called SeGDS. It covers application scenarios from embedded field devices for data acquisition to large-scale generic data applications and data management. The concept is based largely on proven standard enterprise hardware and standard solutions. As a first application, we report about transport and management of mass data originating from highresolution electrical data devices, which measure parameters of the electrical grid with a high sample rate. The shown solution is intended to be a contribution to concepts of a secure, flexible, but comparably inexpensive management of large amounts of data coming from modern smart power grids or other comparable smart applications.
机译:互联网即将从计算机的纯网络转换为更多或更少智能设备的网络,计算机只是其中一个。此更改的示例是智能应用,如智能家庭,智能流量控制和指导系统,智能电网或智能建筑物等智能应用的概念。这些系统需要高度的鲁棒性,可靠性,可扩展性,安全性和安全性。在本文中,我们专注于数据交换和管理方面,并为称为SEGDS的可扩展且易于使用的通用数据服务引入安全概念。它涵盖了嵌入式现场设备的应用方案,以便数据采集到大规模通用数据应用和数据管理。该概念主要基于经过验证的标准企业硬件和标准解决方案。作为第一个申请,我们报告了来自高分辨率电气数据设备的传输和管理的传输和管理,其测量具有高采样率的电网的参数。所示的解决方案旨在对来自现代智能电网或其他可比智能应用的大量数据的概念进行贡献。

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