This is the authors' abstract. We don't add key points for this paper.
The rapid growth of image-centric applications in cloud, IoT/edge, and wireless multimedia systems has intensified the need for encryption schemes that simultaneously deliver strong security and practical real-time implementations. This manuscript proposes a software-hardware co-design of a fractional-order chaos-driven, multiple-layer image encryption pipeline that merges multiple color images, converts them to a 1D bitstream, and applies consecutive XOR–substitution stages powered by independent fractional-order hyperchaotic generators: a 5D fractional-order memristive hyperchaotic system, an 8D fractional-order Chen hyperchaotic system, and a 10D fractional-order Chen hyperchaotic system, with dynamic S-boxes generated per layer. On standard 256× 256 test images (USC-SIPI), the scheme achieves near-ideal randomness and diffusion with average encrypted image entropy HE=7.99855 , very low post-encryption adjacent-pixel correlations (near zero), and strong differential resistance with NPCR and UACI values very close to their ideal targets; encryption distortion metrics further indicate effective concealment (average PSNR =8.06821~dB , MAE $$=82.3120$$ , MSE $$=10146.0$$ ), while decryption is lossless (SSIM $$=1$$ for all reported images). The generated S-boxes exhibit competitive cryptographic properties (NL $$=106$$ –110, SAC ≈ 0.493 –0.505, BIC $$=104$$ –108, DAP $$=0.015625$$ ), the key-stream passes NIST SP 800–22 with all p -values $$>0.01$$ , and the estimated key space is 2²⁶⁰⁴ . Efficiency is demonstrated in software ( 0.0482414~s for 256× 256 ; 1.33031~s for 1024× 1024 ) and via an FPGA-oriented architecture on an Artix-7 (XC7A35T) achieving 78.64~Mbps throughput with 0.021798~s execution time and minimal resource utilization ( ~ 1% LUT, $$0%$$ BRAM/DSP), supporting embedded real-time cryptography.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Megalli et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: