Future Internet | Free Full-Text | IoT-Portrait: Automatically ...
WEBMar 7, 2023 · In this paper, we propose IoT-Portrait, an automatic IoT device identification framework based on a transformer network. IoT-Portrait automatically acquires information about IoT devices as labels and learns the traffic behavior characteristics of devices through a transformer neural network.
Future Internet | Free Full-Text | IoT-Portrait: Automatically ...
WEBMar 7, 2023 · In this paper, we design IoT-Portrait, an automatic IoT device identification framework based on transformer. Compared with previous works, IoT-Portrait leverages an information acquisition scheme, combining both active and passive approaches to reduce the manual effort of labeling.
IoT-Portrait: Automatically Identifying IoT Devices via …
WEBIn this paper, we propose IoT-Portrait, an automatic IoT device identification framework based on a transformer network. IoT-Portrait automatically acquires information about IoT devices as labels and learns the traffic behavior characteristics of devices through a transformer neural network.
(PDF) IoT-Portrait: Automatically Identifying IoT Devices via ...
WEBMar 7, 2023 · IoT-Portrait automatically acquires information about IoT devices as labels and learns the traffic behavior characteristics of devices through a transformer neural network.
WEBMar 7, 2023 · Based on this discovery, we propose IoT-Portrait, an end-to-end automatic IoT device identification framework that classifies IoT devices by mining critical and unique features of devices in traffic.
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(PDF) IoT-Portrait: Automatically Identifying IoT Devices via ...
WEBIn this paper, we propose IoT-Portrait, an automatic IoT device identification framework based on a transformer network. IoT-Portrait automatically acquires information about IoT devices as labels and learns the traffic behavior characteristics of devices through a transformer neural network.
Future Internet | Free Full-Text | IoT-Portrait: Automatically
WEBMar 7, 2023 · Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags
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