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IoT Device Identification

IoT Device Identification is the process of recognizing and distinguishing IoT devices within a network by analyzing their behavior, communication patterns, or interaction with other devices, enabling improved network management, security, and research.

Papers

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Showing 1–18 of 18 papers

TitleStatusHype
CNN based IoT Device IdentificationCode1
IoTDevID: A Behavior-Based Device Identification Method for the IoTCode1
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security—0
GeMID: Generalizable Models for IoT Device IdentificationCode0
Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts—0
Discretization-based ensemble model for robust learning in IoT—0
LSTM based IoT Device IdentificationCode0
IoT Device Identification Based on Network Communication Analysis Using Deep Learning—0
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification—0
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification—0
Rapid IoT Device Identification at the Edge—0
Revisiting IoT Device IdentificationCode0
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks—0
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey—0
The Case for Retraining of ML Models for IoT Device Identification at the Edge—0
Network Traffic Analysis based IoT Device Identification—0
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) DevicesCode0
IoT Device Identification Using Deep Learning—0
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