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I. Mir

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Open access Jun 2026

IDS_XGB: Next-Generation Intrusion Detection for Automotive Embedded Systems

This work proposes a novel Intrusion Detection Systems (IDS) based on eXtreme Gradient Boosting (XGBoost), specifically optimized for analyzing CAN bus data, which achieves outstanding detection performance and maintains low false positive rates and strongly generalizes unseen data.

Y. Ayat, Wiame Benzekri, A. El Moussati et al. · 0 citations