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In conclusion, we have proposed a reliable and interpretable model for an in-vehicle network intrusion detection system. The proposed IDS model is suitable for detecting attacks in CAN bus with a unique frequency-based approach. We have proposed an interpretable two-class attack detection model that leverages a dynamic voting-based exploration of features and control models. Moreover, our proposed approach can generalize to different datasets evaluated in terms of standard performance metrics such as F1 score and time comparison. In the future, we will implement the proposed approach to other in-vehicle network datasets and explainability metrics.
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IEEE/ICACT20220035 Slide.13
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