Multi-Constraint Evaluation of Edge-Deployable Intrusion Detection Architectures for Smart City IoT
The integration of IoT devices into smart cities introduces critical vulnerabilities, requiring Intrusion Detection Systems (IDSs) deployable on resource-constrained edge devices. This paper evaluates LightGBM, a Standard Deep Neural Network (SDNN), and a Multi-Task Supervised Autoencoder (MSAE) using a 175,341-sample...