Security Issues in Distributed Data Acquisition and Management of Large Data Volumes

• Published in: Data Management Technologies and Applications Vol. 178; pp. 16 - 27
• Main Authors: Kramer, Alexander, Jakob, Wilfried, Maaß, Heiko, Süß, Wolfgang
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2015; Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Data management; Data mining; Data privacy; Data security; Information retrieval; Large data volumes; Scalable data exchange; Smart grid data management
• ISBN: 3319259350; 9783319259352
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-319-25936-9_2

The internet is faced with new application scenarios like smart homes, smart traffic control and guidance systems, smart power grids, or smart buildings. They all have in common that they require a high degree of robustness, reliability, scalability, safety, and security. This paper provides a list of criteria for these properties and focuses on the aspect of data exchange and management. It introduces a security concept for scalable and easy-to-use Secure Generic Data Services, called SeGDS, which covers application scenarios extending from embedded field devices for data acquisition to large-scale generic data applications and data management. Our concept is based largely on proven standard solutions and uses standard enterprise hardware. The first application deals with 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.