MERO: A Statistical Approach for Hardware Trojan Detection
- 1 January 2009
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Power supply signal calibration techniques for improving detection resolution to hardware TrojansPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- On-demand transparency for improving hardware Trojan detectabilityPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- A region based approach for the identification of hardware TrojansPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- The Hunt For The Kill SwitchIEEE Spectrum, 2008
- Trojan Detection using IC FingerprintingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- Evaluation of the quality of N-detect scan ATPG patterns on a processorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A measure of quality for n-detection test setsInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2004
- Test point insertion that facilitates ATPG in reducing test time and data volumePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Chip detectives [reverse engineering]IEEE Spectrum, 2000
- Combining multiple DFT schemes with test generationIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1999