A blockchain-assisted lightweight UAV network authentication mechanism via covert communication

• We propose a blockchain-assisted UAV network authentication mechanism based on covert communication in the physical layer, where the identity information of UAVs can be transmitted as tags for authentication via covert communication. • We propose a wPBFT consensus protocol according to the reputation and channel state, where UAVs with good channel status and reputation values construct an authentication group to reach a consensus when receiving the authentication request with covert tags. • In order to clarify the proposed mechanism and better demonstrate the behavior and performance of the mechanism, we theoretically derive the closed form of the probability of authentication and false alarm for the proposed UAV network authentication mechanism. • Simulation and numerical results demonstrate that the proposed UAV network authentication mechanism has better robustness and security than benchmarks especially in the case of low SNR and short tag lengths. The increasing importance of terminal privacy in the Unmanned Aerial Vehicle (UAV) network has led to a growing recognition of the crucial role of authentication technology in UAV network security. However, traditional authentication approaches are vulnerable due to the transmission of identity information between UAVs and cryptographic paradigm management centers over a public channel. These vulnerabilities include brute-force attacks, single point of failure, and information leakage. Blockchain, as a decentralized distributed ledger with blockchain storage, tamper-proof, secure, and trustworthy features, can solve problems such as single-point-of-failure and trust issues, while the hidden communication in the physical layer can effectively resist information leakage and violent attacks. In this paper, we propose a lightweight UAV network authentication mechanism that leverages blockchain and covert communication, where the identity information is transmitted as covert tags carried by normal modulated signals. In addition, a weight-based Practical Byzantine Fault-Tolerant (wPBFT) consensus protocol is devised, where the weights are determined by the channel states of UAVs and the outcomes of past authentication scenarios. Simulation results demonstrate that the proposed mechanism outperforms traditional benchmarks in terms of security and robustness, particularly under conditions of low Signal-to-Noise Ratio (SNR) and short tag length.

Authors

Institutions

Publication Details

Journal
Chinese Journal of Aeronautics
Published
2024-08-22
DOI
https://doi.org/10.1016/j.cja.2024.08.019
Citations
4
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
5.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A blockchain-assisted lightweight UAV network authentication mechanism via covert communication

Zhen Mei, Yumeng Shao, Yuwen Qian, Feng Shu et al.
4 citations
Chinese Journal of Aeronautics
UAV Applications and Optimization
5.20
article

A blockchain-assisted lightweight UAV network authentication mechanism via covert communication

Zhen Mei, Yumeng Shao, Yuwen Qian, Feng Shu, Xiangwei Zhou, Long Shi, Huan Cai
article en
4 citations

Abstract

• We propose a blockchain-assisted UAV network authentication mechanism based on covert communication in the physical layer, where the identity information of UAVs can be transmitted as tags for authentication via covert communication. • We propose a wPBFT consensus protocol according to the reputation and channel state, where UAVs with good channel status and reputation values construct an authentication group to reach a consensus when receiving the authentication request with covert tags. • In order to clarify the proposed mechanism and better demonstrate the behavior and performance of the mechanism, we theoretically derive the closed form of the probability of authentication and false alarm for the proposed UAV network authentication mechanism. • Simulation and numerical results demonstrate that the proposed UAV network authentication mechanism has better robustness and security than benchmarks especially in the case of low SNR and short tag lengths. The increasing importance of terminal privacy in the Unmanned Aerial Vehicle (UAV) network has led to a growing recognition of the crucial role of authentication technology in UAV network security. However, traditional authentication approaches are vulnerable due to the transmission of identity information between UAVs and cryptographic paradigm management centers over a public channel. These vulnerabilities include brute-force attacks, single point of failure, and information leakage. Blockchain, as a decentralized distributed ledger with blockchain storage, tamper-proof, secure, and trustworthy features, can solve problems such as single-point-of-failure and trust issues, while the hidden communication in the physical layer can effectively resist information leakage and violent attacks. In this paper, we propose a lightweight UAV network authentication mechanism that leverages blockchain and covert communication, where the identity information is transmitted as covert tags carried by normal modulated signals. In addition, a weight-based Practical Byzantine Fault-Tolerant (wPBFT) consensus protocol is devised, where the weights are determined by the channel states of UAVs and the outcomes of past authentication scenarios. Simulation results demonstrate that the proposed mechanism outperforms traditional benchmarks in terms of security and robustness, particularly under conditions of low Signal-to-Noise Ratio (SNR) and short tag length.

Chinese Journal of AeronauticsVol. 38(10)
Louisiana State University (US), Hainan University (CN), Nanjing University of Science and Technology (CN)
Openalex Percentile: Top 5%
UAV Applications and Optimization
5.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.