Ezana Fekadu

Evaluation of Neural Network Architectures for Intrusion Detection in Resource-Constrained Embedded Network Systems

Deploying effective intrusion detection systems (IDS) on resource-constrained embedded hardware demands models that maximise threat recall under severe class imbalance and tight computational budgets. This paper presents a systematic, multi-cycle experimental study comparing neural network architectures—multi-layer per...