4 papers
Adversarial Robustness of Traffic Classification under Resource Constraints: Input Structure Matters
Adel Chehade, Edoardo Ragusa, Paolo Gastaldo +1
Traffic classification (TC) plays a critical role in cybersecurity, particularly in IoT and embedded contexts, where inspection must often occur locally under tight hardware constr…
Intrusion Detection on Resource-Constrained IoT Devices with Hardware-Aware ML and DL
Ali Diab, Adel Chehade, Edoardo Ragusa +4
This paper proposes a hardware-aware intrusion detection system (IDS) for Internet of Things (IoT) and Industrial IoT (IIoT) networks; it targets scenarios where classification is…
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
Adel Chehade, Edoardo Ragusa, Paolo Gastaldo +1
In this paper, we present a practical deep learning (DL) approach for energy-efficient traffic classification (TC) on resource-limited microcontrollers, which are widely used in Io…
Tiny Neural Networks for Session-Level Traffic Classification
Adel Chehade, Edoardo Ragusa, Paolo Gastaldo +1
This paper presents a system for session-level traffic classification on endpoint devices, developed using a Hardware-aware Neural Architecture Search (HW-NAS) framework. HW-NAS op…