Authors:
Alexander Kramer
;
Wilfried Jakob
;
Heiko Maaß
and
Wolfgang Süß
Affiliation:
Karlsruhe Institute of Technology (KIT), Germany
Keyword(s):
Security, Privacy, Scalable Data Exchange, Smart Grid Data Management, Generic Data Management.
Related
Ontology
Subjects/Areas/Topics:
Big Data
;
Data and Application Security and Privacy
;
Data Engineering
;
Data Management and Quality
;
Data Privacy and Security
;
Databases and Data Security
;
Information and Systems Security
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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