Back to Search Start Over

High-Level Simulation for Multiple Fault Injection Evaluation

Authors :
Maxime Puys
Lionel Rivière
Julien Bringer
Thanh-Ha Le
Morpho
ANR-12-INSE-0005,E-MATA HARI,Analyse électromagnétique, déchiffrement et ingénierie inverse de circuits intégrés(2012)
Source :
Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance-9th International Workshop, DPM 2014, 7th International Workshop, SETOP 2014, and 3rd International Workshop, QASA 2014, Wroclaw, Poland, September 10-11, 2014. Revised Selected Papers, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance, Sep 2014, Wroclaw, Poland. ⟨10.1007/978-3-319-17016-9_19⟩, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance ISBN: 9783319170152, DPM/SETOP/QASA
Publication Year :
2014
Publisher :
HAL CCSD, 2014.

Abstract

International audience; Faults injection attacks have become a hot topic in the domain of smartcards. This work exposes a source code-base simulation approach designed to evaluate the robustness of high-level secured implementations against single and multiple fault injections. In addition to an unprotected CRT-RSA implementation, we successfully attacked two countermeasures with the high-level simulation under the data fault model. We define a filtering criterion that operates on found attacks and we refine our simulation analysis accordingly. We introduce a broader fault model that consists in skipping C lines of code and exhibit benefits of such high-level fault model in term of simulation performance and attack coverage.

Details

Language :
English
ISBN :
978-3-319-17015-2
ISBNs :
9783319170152
Database :
OpenAIRE
Journal :
Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance-9th International Workshop, DPM 2014, 7th International Workshop, SETOP 2014, and 3rd International Workshop, QASA 2014, Wroclaw, Poland, September 10-11, 2014. Revised Selected Papers, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance, Sep 2014, Wroclaw, Poland. ⟨10.1007/978-3-319-17016-9_19⟩, Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance ISBN: 9783319170152, DPM/SETOP/QASA
Accession number :
edsair.doi.dedup.....f002885be07fbbba30c3426f266c1e95
Full Text :
https://doi.org/10.1007/978-3-319-17016-9_19⟩