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IEEE/ICACT20260343 Slide.25        [Big Slide]       [YouTube]	Oral Presentation
	Now let¡¯s look at detection accuracy. Across all three scenarios—pollution, exhaustion, and hybrid—DT-NRS achieves the highest F1-scores: roughly 0.94 under cache pollution, 0.96 under forwarding exhaustion, and 0.95 under hybrid attacks. The best baselines remain around 0.82 to 0.92, depending on the scenario. The key message is that combining behavioral credit with federated learning improves detection accuracy substantially, especially when attacks span multiple domains or use low-rate evasion. In practice, higher F1 means we both catch more attacks and avoid unnecessary throttling of legitimate users.

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