Privacy-Aware and Resource-Efficient Split Learning for IoT Botnet Detection: A Multi-Dataset Experimental and Systems Evaluation
A traffic-constrained multi-client split-learning intrusion-detection system evaluated on BoT-IoT, N-BaIoT, and CIC-IDS2017, which identifies a practical accuracy–communication–energy–privacy operating point for constrained IoT clients.
M. Alja'afreh, Ali Karime, A. Oukaira
· IoT · 0 citations