Table of Contents
ISRN Software Engineering
Volume 2012, Article ID 424230, 7 pages
Research Article

Secure and Customizable Data Management for Automotive Systems: A Feasibility Study

1School of Computer Science, University of Magdeburg, P.O. Box 4120, 39016 Magdeburg, Germany
2Faculty of Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium

Received 11 November 2011; Accepted 7 December 2011

Academic Editors: O. Greevy and Y. K. Malaiya

Copyright © 2012 Thomas Thüm et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding security-related features such as asymmetric and symmetric encryption. We demonstrate the feasibility of our approach through applying different tailor-made DBMS versions derived from AutoDaMa in an automotive testing environment. Our experience is that AutoDaMa can dramatically reduce the development effort and can increase reliability using efficient reuse mechanisms.