A. G. M. F. H. Akanda

DAFF: Deployment-Aware Feature Fusion for Efficient TinyML-Based Intrusion Detection in IoT

Tiny Machine Learning (TinyML) enables on-device inference for resource-constrained IoT systems, yet most intrusion detection approaches focus primarily on classification accuracy while overlooking deployment constraints such as latency, memory footprint, and energy consumption. This paper presents a system-level TinyM...