A Software-Based Error Detection Technique Using Encoded Signatures

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	Similar Articles Articles by Yasser Sedaghat Articles by Seyed Ghassem Miremadi Articles by Mahdi Fazeli

21st IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT'06)

Arlington, Virginia, USA

October 04-October 06

ISBN: 0-7695-2706-X

	ASCII Text	x
	Yasser Sedaghat, Seyed Ghassem Miremadi, Mahdi Fazeli, "A Software-Based Error Detection Technique Using Encoded Signatures," Defect and Fault-Tolerance in VLSI Systems, IEEE International Symposium on, pp. 389-400, 21st IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT'06), 2006.

	BibTex	x
	@article{ 10.1109/DFT.2006.11, author = {Yasser Sedaghat and Seyed Ghassem Miremadi and Mahdi Fazeli}, title = {A Software-Based Error Detection Technique Using Encoded Signatures}, journal ={Defect and Fault-Tolerance in VLSI Systems, IEEE International Symposium on}, volume = {0}, year = {2006}, issn = {1550-5774}, pages = {389-400}, doi = {http://doi.ieeecomputersociety.org/10.1109/DFT.2006.11}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Defect and Fault-Tolerance in VLSI Systems, IEEE International Symposium on TI - A Software-Based Error Detection Technique Using Encoded Signatures SN - 1550-5774 SP389 EP400 A1 - Yasser Sedaghat, A1 - Seyed Ghassem Miremadi, A1 - Mahdi Fazeli, PY - 2006 KW - null VL - 0 JA - Defect and Fault-Tolerance in VLSI Systems, IEEE International Symposium on ER -

Yasser Sedaghat, Sharif University of Technology, Iran

Seyed Ghassem Miremadi, Sharif University of Technology, Iran

Mahdi Fazeli, Sharif University of Technology, Iran

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DFT.2006.11

In this Paper, a software-based control flow checking technique called SWTES (Softwarebased error detection Technique using Encoded Signatures) is presented and evaluated. This technique is processor independent and can be applied to any kind of processors and microcontrollers. To implement this technique, the program is partitioned to a set of blocks and the encoded signatures are assigned during the compile time. In the run-time, the signatures are compared with the expected ones by a monitoring routine. The technique is experimentally evaluated on an ATMEL MCS51 microcontroller using Software Implemented Fault Injection (SWIFI). The results show that this technique detects about 90% of the injected errors. The memory overhead is about 135% on average, and the performance overhead varies between 11% and 191% depending on the workload used.

Citation:

Yasser Sedaghat, Seyed Ghassem Miremadi, Mahdi Fazeli, "A Software-Based Error Detection Technique Using Encoded Signatures," dft, pp.389-400, 21st IEEE International Symposium on Defect and Fault-Tolerance in VLSI Systems (DFT'06), 2006

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