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Jixuan Duan

dblp:375/1064 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

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

Security and privacy · 1 · 1 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.

Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%
Computer networks
1 paper
Physical-layer communications · 77% Vehicular, aerial and satellite networks · 23%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
physical layer security
0.812024
Efficient Group Key Generation Based on Satellite Cluster State Information for Drone Swarm · IEEE Trans. Inf. Forensics Secur. 2024
Cryptographic primitives and cryptanalysis › key generation
group key generation
0.812024
Efficient Group Key Generation Based on Satellite Cluster State Information for Drone Swarm · IEEE Trans. Inf. Forensics Secur. 2024
Cryptographic primitives and cryptanalysis
key generation
0.812024
Efficient Group Key Generation Based on Satellite Cluster State Information for Drone Swarm · IEEE Trans. Inf. Forensics Secur. 2024

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

satellite cluster state information · 1.5hash chain · 1.5fuzzy generator · 1.5
YearPublicationVenuePosition
2024 Efficient Group Key Generation Based on Satellite Cluster State Information for Drone Swarm
abstract
In the context of drone swarms, achieving efficient group secure communication is a challenging problem, due to the inherent limitations imposed by the drones’ limited energy and constrained resources. Physical layer group key generation (PLGK) is a promising technology to enable efficient group security communication. However, most existing PLGK schemes struggle to adapt to the dynamic nature of drone swarms. To address this gap, this paper proposes a novel satellite cluster state information (SCSI)-based PLGK, which leverages signal status information from all visible navigation satellites to establish the group key. The presented method utilizes the regional similarity of SCSI as a random information source to generate group keys between different drones, and employs a novel updating framework based on a fuzzy generator and a hash chain to enhance key update and alignment robustness. The proposed scheme not only significantly reduces the overhead of group key generation also mitigates the issues of key loss and reconstruction. The security of the proposed scheme is validated through formal protocol security proof and security analysis against possible attacks. Finally, experiments with real-world drones demonstrate the efficiency and effectiveness of the SCSI-based PLGK.
Ning Wang 0003, Jixuan Duan, Biwen Chen, Shangwei Guo, Tao Xiang 0001, Kai Zeng 0001
IEEE Trans. Inf. Forensics Secur.2