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
Link To Document :
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