DocumentCode
2585811
Title
Automated software diversity for hardware fault detection
Author
Gaiswinkler, Gerald ; Gerstinger, Andreas
Author_Institution
Elektrobit Austria GmbH, Vienna, Austria
fYear
2009
fDate
22-25 Sept. 2009
Firstpage
1
Lastpage
7
Abstract
Software in dependable systems must be able to tolerate or detect faults in the underlying infrastructure, such as the hardware. This paper presents a cost efficient automated method how register faults in the microprocessor can be detected during execution. This is done with the help of using compiler options to generate diverse binaries. The efficacy of this approach has been analyzed with the help of a CPU emulator, which was modified exactly for this purpose. The promising results show, that by using this approach, it is possible to automatically detect the vast majority of the injected register faults. In our simulations, two diverse versions have-despite of experiencing the same fault during execution - never delivered the same incorrect result, so we could detect all injected faults.
Keywords
microprocessor chips; safety-critical software; software fault tolerance; CPU emulator; automated software diversity; hardware fault detection; injected register faults; microprocessor; safety-critical software; software fault tolerant; Application software; Fault detection; Hardware; Microprocessors; Optimization methods; Optimizing compilers; Program processors; Registers; Software systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Conference_Location
Mallorca
ISSN
1946-0759
Print_ISBN
978-1-4244-2727-7
Electronic_ISBN
1946-0759
Type
conf
DOI
10.1109/ETFA.2009.5347167
Filename
5347167
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