This paper reveals an innovative Diagnosis Unit that detects communication and processing anomalies in ECUs, highlighting its scalable and non-intrusive diagnostics.
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.
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Attal et al. (2025) studied this question.
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