From Code Review to Fault Injection Attacks: Filling the Gap Using Fault Model Inference
| Autor: | Jessy Clédière, Philippe de Choudens, Louis Dureuil, Marie-Laure Potet, Cécile Dumas |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Code review Computer science business.industry Distributed computing Inference Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Fault injection computer.software_genre Fault indicator Stuck-at fault Computer Science::Hardware Architecture 03 medical and health sciences 030104 developmental biology Robustness (computer science) 020204 information systems 0202 electrical engineering electronic engineering information engineering Smart card Data mining Fault model business Computer Science::Operating Systems computer Computer Science::Cryptography and Security |
| Zdroj: | Smart Card Research and Advanced Applications ISBN: 9783319312705 CARDIS |
| DOI: | 10.1007/978-3-319-31271-2_7 |
| Popis: | We propose an end-to-end approach to evaluate the robustness of smartcard embedded applications against perturbation attacks. Key to this approach is the fault model inference phase, a method to determine a precise fault model according to the attacked hardware and to the attacker's equipment, taking into account the probability of occurrence of the faults. Together with a fault injection simulator, it allows to compute a predictive metrics, the vulnerability rate, which gives a first estimation of the robustness of the application. Our approach is backed up by experiments and tools that validate its potential for prediction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|