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