AutoDaMa: On the Feasibility of Secure and Tailor-made Automotive Data Management

Customtailor-madedatabasemanagementsystems(DBMS)areanessentialasset,especiallyforembeddedsystems. Thecontinuously increasing amount of data in automotive sys-tems and the growing network of embedded devices canprofitfromDBMS.Restrictionsintermsofprocessors,mem-ory, and storage require customizable DBMS that containonly the needed functionality. We present AutoDaMa,acustomizableDBMSdesignedforautomotivesystems. WithAutoDaMa, it is possible to generate tailor-made DBMSfor different scenarios, e.g., by restricting the storage sizeof the DBMS or adding security-related features such asasymmetricandsymmetricencryption. Wedemonstratethefeasibilityofourapproachthroughapplyingdifferenttailor-madeDBMSversionsderivedfromAutoDaMa inanauto-motivetestingenvironment. OurexperienceisthatAuto-DaMa candramaticallyreducethedevelopmenteffortandcanincreasereliabilityusingefficientreusemechanisms.

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