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The dataset contains traces concerning the behaviour of critical software tasks of an embedded Flight Management System and generated by during the execution of multiple flight plans. Traces have been generated under diverse conditions spanning both normal execution and anomalous execution due to attacks/irregularities. Such behavioural traces are used as training samples to build the AI-based anomaly detection system which is part of the TEACHING final demonstrators. The dataset is released under a permissive Creative Commons Attribution Non-Commercial ShareAlike 4.0 International public license (CC BY-NC-SA). The dataset is publicly available on the TEACHING Github at https://github.com/EU-TEACHING/teaching-avionics-dataset.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 6 |

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