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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
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
CNN based IoT Device IdentificationCode1
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
IoTDevID: A Behavior-Based Device Identification Method for the IoTCode1
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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