Work

Microarchitecture-aware Fault Models: Experimental Evidence and Cross-Layer Inference Methodology

Year: 2021

Type: conference-paper

Abstract: Fault injection attacks are considered one of the major threats to cyber-physical systems. The increasing complexity of embedded microprocessors involves complicated behaviours in presence of such attacks. Realistic fault models are required to study code vulnerabilities and be able to protect digital systems from these attacks. However, inferring fault models using only limited observations of faulty microprocessors is difficult. In this article, we present experiments that show the difficulty of characterizing and modelling the fault injection effects. From there, we propose a complete approach for fault analysis to build proper fault models at different system levels, which will help in designing suitable countermeasures at reasonable cost.

Source: International Conference on Design & Technology of Integrated Systems in Nanoscale Era (DTIS)

DOI: 10.1109/dtis53253.2021.9505074

Authors: Ihab Alshaer, Brice Colombier, Christophe Deleuze, Vincent Beroulle, Paolo Maistri

Institutions: Institut polytechnique de Grenoble, Laboratoire de Conception et d'Intégration des Systèmes, Université Grenoble Alpes, Centre National de la Recherche Scientifique, Techniques of Informatics and Microelectronics for Integrated Systems Architecture

Language: English

Topic: Cryptographic Implementations and Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Agence Nationale de la Recherche

Awards: G2121614283, G292453335, Systemes et Algorithmes Pervasifs au confluent des mondes physique et numérique