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InfoResearchPeer-reviewed
HAVEN: A Hybrid Anomaly Detection System for Intra-Vehicular CAN-Bus Communication Using Rule-Based and Neural Networks
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Summary
The paper proposes HAVEN, a hybrid anomaly detection system for Intra-Vehicular CAN-bus communication that combines rule-based techniques with machine learning and neural networks in binary and multiclass forms. The authors report high detection accuracy, low execution time and a high F1-score across different datasets, with the neural-network model performing best.