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Lightweight Radio Frequency Fingerprint Identification Method for UAVs with Limited Computing Power
2025 5th International Conference on Intelligent Technology and Embedded Systems (ICITES)The extensive application of unmanned aerial vehicles (UAVs) has brought about an urgent need for identity recognition and security management. With its unique advantages of requiring no additional hardware and being difficult to forge, radio frequency ...
Xinran Zhou +5 more
semanticscholar +1 more source
IEEE Internet of Things Journal
With the development of Internet of Things (IoT) and cloud networks, the security of edge networks, borderless networks, and obscure networks are essential, so there are many security problems that need to be tackled, including over-trust in trust areas ...
Wentao Jing +3 more
semanticscholar +1 more source
With the development of Internet of Things (IoT) and cloud networks, the security of edge networks, borderless networks, and obscure networks are essential, so there are many security problems that need to be tackled, including over-trust in trust areas ...
Wentao Jing +3 more
semanticscholar +1 more source
Lightweight Radio Frequency Fingerprint Identification Scheme for V2X Based on Temporal Correlation
IEEE Transactions on Information Forensics and SecurityRadio frequency fingerprinting identification (RFFI) is a promising physical layer authentication technique based on the inherent hardware defects of transmitters, yet there are bottlenecks in its application to vehicular networks.
Xinyu Qi, Aiqun Hu, Tianshu Chen
semanticscholar +1 more source
IEEE Transactions on Information Forensics and Security
Radio frequency fingerprinting (RFF) serves as a distinctive hardware trait in transmitters, forming the cornerstone of transmitter identification. While recent advancements led to significant improvements in identification accuracy, these developments ...
Zhisheng Yao +6 more
semanticscholar +1 more source
Radio frequency fingerprinting (RFF) serves as a distinctive hardware trait in transmitters, forming the cornerstone of transmitter identification. While recent advancements led to significant improvements in identification accuracy, these developments ...
Zhisheng Yao +6 more
semanticscholar +1 more source
Equalization-Assisted Domain Adaptation for Radio Frequency Fingerprint Identification
IEEE Wireless Communications LettersRadio frequency fingerprint identification (RFFI) has gained popularity for physical layer security. Although deep learning-based RFFI has achieved state-of-the-art results, there is still performance degradation in varying wireless environments.
Rui Pan +3 more
semanticscholar +1 more source
Data-and-Channel-Independent Radio Frequency Fingerprint Extraction for LTE-V2X
IEEE Transactions on Cognitive Communications and NetworkingRadio frequency fingerprint (RFF), derived from transmitter hardware impairments, has become one of the most secure solutions for physical layer authentication due to its copy-proof and forgery-proof.
Xinyu Qi, Aiqun Hu, Zhen Zhang
semanticscholar +1 more source
IEEE Transactions on Cognitive Communications and Networking
Due to the unprecedented growth of the Internet of Things (IoT), safeguarding IoT devices of wireless connection has now become more challenging than ever.
Jiashuo He +5 more
semanticscholar +1 more source
Due to the unprecedented growth of the Internet of Things (IoT), safeguarding IoT devices of wireless connection has now become more challenging than ever.
Jiashuo He +5 more
semanticscholar +1 more source
IEEE Internet of Things Journal
By exploiting the inherent hardware characteristics of wireless devices, radio frequency fingerprint identification (RFFI) has been widely applied in device authentication and spoofing attack detection to improve the security.
Haotian Zhang, Lei Zhao, Yuan Jiang
semanticscholar +1 more source
By exploiting the inherent hardware characteristics of wireless devices, radio frequency fingerprint identification (RFFI) has been widely applied in device authentication and spoofing attack detection to improve the security.
Haotian Zhang, Lei Zhao, Yuan Jiang
semanticscholar +1 more source
Radio Frequency Fingerprint Identification Based on Variational Autoencoder for GNSS
IEEE Geoscience and Remote Sensing LettersInterference against global navigation satellite system (GNSS) is threatening its reliability. Radio frequency fingerprint identification (RFFI) emerges as a physical-layer security solution that can effectively identify genuine transmitters.
Qi Jiang, Jin Sha
semanticscholar +1 more source