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IoT Device Identification
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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.
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GeMID: Generalizable Models for IoT Device Identification
Leveraging Machine Learning for Accurate IoT Device Identification in Dynamic Wireless Contexts
Discretization-based ensemble model for robust learning in IoT
CNN based IoT Device Identification
LSTM based IoT Device Identification
IoT Device Identification Based on Network Communication Analysis Using Deep Learning
Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
Rapid IoT Device Identification at the Edge
Revisiting IoT Device Identification
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
IoTDevID: A Behavior-Based Device Identification Method for the IoT
Machine Learning for the Detection and Identification of Internet of Things (IoT) Devices: A Survey
The Case for Retraining of ML Models for IoT Device Identification at the Edge
Network Traffic Analysis based IoT Device Identification
Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices
IoT Device Identification Using Deep Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.