Xemu

Becker, Markus; Baldin, Daniel; Kuznik, Christoph; Joy, Mabel Mary; Xie, Tao; Mueller, Wolfgang

doi:10.1145/2380356.2380368

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2023

Publication Types

Select...

Article3

Book2

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 25 publications

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

SoK: Assisted Fault Simulation

Adhikary,

Buhan

2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Fault injection attacks have caused implementations to behave unexpectedly, resulting in a spectacular bypass of security features and even the extraction of cryptographic keys. Clearly, developers want to ensure the robustness of the software against faults and eliminate production weaknesses that could lead to exploitation. Several fault simulators have been released that promise cost-effective evaluations against fault attacks. In this paper, we set out to discover how suitable such tools are, for a developer who wishes to create robust software against fault attacks. We found four open-source fault simulators that employ different techniques to navigate faults, which we objectively compare and discuss their benefits and drawbacks. Unfortunately, none of the four open-source fault simulators employ artificial intelligence (AI) techniques. However, AI was successfully applied to improve the fault simulation of cryptographic algorithms, though none of these tools is open source. We suggest improvements to open-source fault simulators inspired by the AI techniques used by cryptographic fault simulators.

show abstract