Web1 okt. 2024 · Deep learning is a promising way to acquire various IoT devices' … WebIoT devices using deep learning. The proposed method is based on RF fingerprinting since physical layer based features are device specific and more difficult to impersonate. RF traces are collected

Resource Allocation in IoT-based Edge Computing using Deep …

WebRadio Frequency (RF) fingerprinting as a physical layer authentication method could be … Web3 nov. 2024 · IoT Device Fingerprint using Deep Learning. Abstract: Device … song in a world full of hate be a light

Authentication and Authorization for Mobile IoT Devices Using …

Web19 apr. 2024 · In this paper, we propose Device Authentication Code (DAC), a novel method for authenticating IoT devices with wireless interface by exploiting their radio frequency (RF) signatures. The proposed DAC is based on RF fingerprinting, information theoretic method, feature learning, and discriminatory power of deep learning. Web12 jan. 2024 · The proposed device fingerprinting model demonstrates over 99% and 95% precisions in distinguishing between known and unknown traffic traces and in identifying IoT and non-IoT traffic traces, respectively. 98.49% precision has also been demonstrated on an individual device classification task. WebTo perform the fingerprint attack, we train machine-learning algorithms based on selected features extracted from the encrypted IoT traffic. Extensive simulations involving the baseline approach show that we achieve not only a significant mean accuracy improvement of 18.5% and but also a speedup of 18.39 times for finding the best estimators ... song in a sentimental mood