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Novel FPGA implementation achieved low latency and real-time performance, suggesting robust security for various applications.
This article presents a high-throughput image encryption algorithm implemented on an Artix-7 FPGA, which offers parallel processing, low latency, and real-time performance with a throughput of 0.8 Gbps, making it ideal for secure applications such as satellite imaging, surveillance, and medical diagnostics. The proposed method employs three chaotic systems: a 10D hyperchaotic system, an 8D hyperchaotic system, and a memristive coupled neural network (MCNN), to achieve a multi-layered encryption process that enhances confusion, diffusion, and key space complexity. The total key space of the algorithm is approximately 2³⁴⁵⁴ , providing an extremely large search space that ensures robust protection against brute-force attacks. Performance results demonstrate excellent security properties, including high entropy values ( ≈ 7.999 ), low pixel correlation coefficients (average ≤ 0.003 ), and resistance to differential attacks. The FPGA-based implementation significantly outperforms software-only solutions in both speed and efficiency, validating its suitability for real-time, high-security image encryption scenarios.
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Alexan et al. (2025) studied this question.
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