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Secure Communication of Military Reconnaissance Images Over UAV-Assisted Relay Networks

Authors :
Wassim Alexan
Laila Aly
Yousef Korayem
Mohamed Gabr
Dina El-Damak
Abdallah Fathy
Hany A. A. Mansour
Source :
IEEE Access, Vol 12, Pp 78589-78610 (2024)
Publication Year :
2024
Publisher :
IEEE, 2024.

Abstract

This article presents a novel 2-layer image encryption cryptosystem and transmission protocol designed for secure communication of military reconnaissance images over unmanned aerial vehicle (UAV)-assisted relaying networks. The proposed scheme aims to address the growing need for robust, secure, and efficient transmission of sensitive imagery data across wireless ad-hoc networks, often characterized by unpredictable and hostile environments. The first layer of the proposed cryptosystem employs a Genetic Algorithm (GA) utilizing a Mersenne Twister (MT) key, providing a robust framework for initial image encryption. The second layer further leverages security by employing DNA coding, that is also driven by a MT key. The encrypted images are subsequently transformed into a one-dimensional bit-stream, ready for transmission. The bit-stream is then channel coded using either a convolutional code or a low-density parity-check (LDPC) code, offering flexibility based on the specific network conditions and requirements. The coded data is then BPSK-modulated and transmitted over a multi-hop wireless relay network, with relays mounted on freely-moving UAVs. This scheme optimizes for both security and transmission efficiency, critical for the time-sensitive and mission-critical nature of military operations. Extensive performance evaluation is carried out, presenting bit error rate (BER) curves and various image encryption metrics, demonstrating the robustness, reliability, and security of the proposed scheme. This contribution is expected to significantly enhance the secure communication of military reconnaissance images, paving the way for more advanced, secure, and efficient communication systems in the military sector.

Details

Language :
English
ISSN :
21693536
Volume :
12
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.b147c5cfaa744b3952e7edba390f4ec
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2024.3407838