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In particular, we propose a reliable intrusion detection system solution for the Controller Area Network using the concept of explanation as exploration for addressing explainable AI goals. For doing so, we performed extensive experimental analysis on two publicly available CAN bus datasets to evaluate and validate the performance of the proposed solutions. We also evaluate the explainability of the proposed solution and further use it to show that reasonable performance can be achieved with a subset of the available features that will also allow reducing the average training time.
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IEEE/ICACT20220035 Slide.04
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