Vulnerability Prediction Against Fault Attacks - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles ERCIM News Year : 2016

Vulnerability Prediction Against Fault Attacks

Abstract

Fault-injection exploits hardware weaknesses to perturbate the behaviour of embedded devices. Here, we present new model-based techniques and tools to detect such attacks developed at the High-Security Laboratory at Inria.
No file

Dates and versions

hal-01394973 , version 1 (10-11-2016)

Identifiers

  • HAL Id : hal-01394973 , version 1

Cite

Nisrine Jafri, Axel Legay, Jean-Louis Lanet. Vulnerability Prediction Against Fault Attacks. ERCIM News, 2016. ⟨hal-01394973⟩
261 View
0 Download

Share

Gmail Mastodon Facebook X LinkedIn More