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PyFI – Fault Injection Plattform for Real Hardware

  • Today, due to the rapidly evolving technology within the automotive industry, the automation level of cars is continuously increasing. As a consequence, the software code base implementing the automated driving functionality is growing in both, complexity and size. Simultaneously, the semiconductor industry continues with structure and voltage downscaling due to diminishing design margins and stringent power constraints. This trend leads to highly integrated hardware on the one hand, whilst provoking an increase in sensitivity against external causes for hardware faults, e.g., radiation effects or electromagnetic interference. Among the available dependability assessment techniques, fault injection (FI) is widely adopted and ISO 26262 strongly recommends applying it to validate, that functional and technical safety mechanisms are implemented correctly and effectively. We present PyFI (Python backend for Fault Injection), a fault injection backend for the Infineon Aurix TriCore which utilizes an iSystem On-chip Analyzer to inject faults into the application data or instructions that are visible at the assembly level. PyFI allows the injection of bit flips and stuck-at faults in memory and register cells of the hardware which trigger our error symptoms on application level. Furthermore, it implements fault collapsing algorithms to reduce the number of faults and the duration for single experiments by gathering statistics about the static and dynamic application execution.

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Metadaten
Author:Lukas Osinski, Tobias Langer, Michael Schmid, Jürgen MottokORCiDGND
URL / DOI:https://ieeexplore.ieee.org/document/8385427
Parent Title (English):31th International Conference on Architecture of Computing Systems, ARCS Workshop 9-12 April 2018, Braunschweig, Germany
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2018
Release Date:2021/03/11
First Page:1
Last Page:7
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
research focus:Digitalisierung