MRFE: A Deep-Learning-Based Multidimensional Radio Frequency Fingerprinting Enhancement Approach for IoT Device Identification-Reference-Cited by-同舟云学术

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MRFE: A Deep-Learning-Based Multidimensional Radio Frequency Fingerprinting Enhancement Approach for IoT Device Identification

Published:2024-09-15 Issue:18 Volume:11 Page:30442-30454
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Lu Qian¹^ORCID,Yang Zaikai¹^ORCID,Zhang Hanlin¹^ORCID,Chen Fei¹^ORCID,Xian Hequn¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Qingdao University, Qingdao, China

Funder

National Natural Science Foundation of China

Shandong Province Youth Innovation and Technology Program Innovation Team

Natural Science Foundation of Shandong

Nanchang Major Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488907/10660568/10556754.pdf?arnumber=10556754

Reference49 articles.

1. Privacy-Preserving Face Recognition With Multi-Edge Assistance for Intelligent Security Systems

2. PEDR: Exploiting phase error drift range to detect full-model rogue access point attacks

3. Eliminating Rogue Access Point Attacks in IoT: A Deep Learning Approach With Physical-Layer Feature Purification and Device Identification

4. BiRe: A client-side Bi-directional SYN Reflection mechanism against multi-model evil twin attacks

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