An Approach for Automotive ECU Diagnosis via Ethernet Snooping & Microcontroller Tracing

Authors

  • Zafer Attal Technische Universitat Munchen (TUM)
  • Matthias Ernst Infineon Technologies AG
  • Gasper Skvarc Bozic Infineon Technologies AG
  • Ibai Irigoyen Ceberio Infineon Technologies AG
  • Albrecht Mayer Infineon Technologies AG
  • Thomas Wild Technische Universitat Munchen (TUM)
  • Andreas Herkersdorf Technische Universitat Munchen (TUM)

DOI:

https://doi.org/10.64552/wipiec.v11i1.96

Keywords:

Automotive, Diagnostics, Health Monitoring, Anomaly Detection, Trace Analysis

Abstract

The increasing software complexity in modern vehicles necessitates diagnostic capabilities beyond traditional systems. This paper presents a Diagnosis Unit (DU) that supports runtime detection and analysis of anomalies by correlating irregularities in Ethernet communication with ECU-internal processing behavior. The DU captures execution traces upon detecting anomalous communication and performs localized analysis to assist in uncovering potential root causes. Implemented on a ZCU102 platform and interfaced with Aurix ECUs, the prototype effectively detects both communication and processing anomalies with minimal impact on in-vehicle network bandwidth, supporting scalable, adaptive, and non-intrusive in-vehicle diagnostics.

References

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Published

2025-09-02

How to Cite

Attal, Z., Ernst, M., Bozic, G. S., Ceberio, I. I., Mayer, A., Wild, T., & Herkersdorf, A. (2025). An Approach for Automotive ECU Diagnosis via Ethernet Snooping & Microcontroller Tracing. WiPiEC Journal - Works in Progress in Embedded Computing Journal, 11(1), 5. https://doi.org/10.64552/wipiec.v11i1.96

Issue

Vol. 11 No. 1 (2025): WiPiEC Journal — Special Issue

Section

Regular Paper

License

Copyright (c) 2025 Zafer Attal, Matthias Ernst, Gasper Skvarc Bozic, Ibai Irigoyen Ceberio, Albrecht Mayer, Thomas Wild, Andreas Herkersdorf

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