Security in Large-Scale Data Management and Distributed Data Acquisition

Alexander Kramer, Wilfried Jakob, Heiko Maaß, Wolfgang Süß

2014

Abstract

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 high-resolution 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.

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Paper Citation


in Harvard Style

Kramer A., Jakob W., Maaß H. and Süß W. (2014). Security in Large-Scale Data Management and Distributed Data Acquisition . In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 125-132. DOI: 10.5220/0005095901250132


in Bibtex Style

@conference{data14,
author={Alexander Kramer and Wilfried Jakob and Heiko Maaß and Wolfgang Süß},
title={Security in Large-Scale Data Management and Distributed Data Acquisition},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={125-132},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005095901250132},
isbn={978-989-758-035-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Security in Large-Scale Data Management and Distributed Data Acquisition
SN - 978-989-758-035-2
AU - Kramer A.
AU - Jakob W.
AU - Maaß H.
AU - Süß W.
PY - 2014
SP - 125
EP - 132
DO - 10.5220/0005095901250132