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Tianxing Hu

dblp:336/8024 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 50% Internet of things and sensor networks · 50%
Network and information security
1 paper
Network security · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › physical layer security
physical-layer authentication
0.612022
Physical Layer Authentication With High Compatibility Using an Encoding Approach · IEEE Trans. Commun. 2022
Internet of things and sensor networks › RFID systems
tag authentication
0.612022
Physical Layer Authentication With High Compatibility Using an Encoding Approach · IEEE Trans. Commun. 2022
Network security › attack resilience › attack mitigation
spoofing attack defense
0.212022
Physical Layer Authentication With High Compatibility Using an Encoding Approach · IEEE Trans. Commun. 2022

Methods — techniques the papers use, named apart from their topics

simulation · 1.1closed-form analysis · 1.1
YearPublicationVenuePosition
2023 Multi-User Physical-Layer Authentication and Classification
abstract
This paper concerns the problem of authenticating different transmitters at the physical layer in a multi-user scenario. In this paper, we propose two tag-based Physical-Layer Authentication (PLA) schemes in a multi-user scenario. We name the first scheme as the Multi-User Physical Layer Authentication and Classification (MU-PLAC) scheme, which not only detects an impersonation attack but also achieves multi-user classification. For further improving the performance of the MU-PLAC scheme for a two-user scenario, we propose an enhanced version of the MU-PLAC scheme by elaborately designing the tags of two legitimate users. We name the second scheme as the Enhanced Multi-User Physical Layer Authentication and Classification (EMU-PLAC) scheme. We provide the theoretical analysis of the proposed schemes over wireless fading channels and derive their closed-form expressions. We implement the proposed schemes and conduct extensive performance comparisons. Our simulation results show that, for a two-user scenario, the EMU-PLAC scheme provides better classification accuracy and authentication accuracy as compared with the MU-PLAC scheme.
Ning Xie 0007, Mingrui Sha, Tianxing Hu, Haijun Tan
IEEE Trans. Wirel. Commun.3
2022 Physical Layer Authentication With High Compatibility Using an Encoding Approach
abstract
This paper concerns the problem of improving compatibility in the tag-based Physical-Layer Authentication (PLA) without sacrificing robustness of the PLA schemes. The prior PLA schemes for improving compatibility often sacrifice robustness or introduce extra communication overhead and security vulnerabilities. The main objective of our approach is to reduce the modification ratio of the source message given the tag length via an encoding approach. Based on a tag-encoding function, we propose two encoded tag-based schemes for the scenario of a single block and the scenario of multiple blocks, respectively, which are named as the Encoded Tag-based PLA scheme for Single Block (ET-SB) and the Encoded Tag-based PLA scheme for Multiple Blocks (ET-MB), respectively. We theoretically analyze the performance of the proposed schemes over fading channels and derive the closed-form expressions of the performance analyses. We implement the proposed schemes and conduct extensive performance comparisons through simulations. Our simulation results show that the closed-form expressions of the theoretical results of the proposed schemes perfectly match the corresponding simulation results. When the SNR is 10 dB, the compatibility of the ET-SB and ET-MB schemes improves to 15.63% and 23.45%, respectively, compared to the prior scheme.
Ning Xie 0007, Mingrui Sha, Tianxing Hu, Peichang Zhang, Lei Huang 0001, Dusit Niyato
IEEE Trans. Commun.4