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Open access 2025

Robustness-Aware Machine Learning for Network Intrusion Detection under Feature and Distribution Variations Using UNSW-NB15

Network intrusion-detection models are commonly evaluated with a fixed training and testing configuration. Such an evaluation does not fully show how a classifier behaves when feature values or class distributions change. This paper evaluates the robustness of a Random Forest model using the UNSW-NB15 dataset. The expe...

D. P., H. S · 0 citations
Open access Sep 2026

BlockLLM-E2MR: Blockchain-attested LLM-guided energy-efficient multipath routing for mobile ad hoc networks

BlockLLM-E2MR, a blockchain-verified large-language-model-guided multipath routing framework where the language model cannot directly implant a route is proposed, a blockchain-verified large-language-model-guided multipath routing framework where the language model cannot directly implant a route.

H. S · 0 citations

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