Real-Time Bit-Level Encryption of Full High-Definition Video Without Diffusion
Journal:
arXiv
Published Date:
May 12, 2025
Abstract
Despite the widespread adoption of Shannon's confusion-diffusion architecture
in image encryption, the implementation of diffusion to sequentially establish
inter-pixel dependencies for attaining plaintext sensitivity constrains
algorithmic parallelism, while the execution of multiple rounds of diffusion
operations to meet the required sensitivity metrics incurs excessive
computational overhead. Consequently, the pursuit of plaintext sensitivity
through diffusion operations is the primary factor limiting the computational
efficiency and throughput of video encryption algorithms, rendering them
inadequate to meet the demands of real-time encryption for high-resolution
video. To address the performance limitation, this paper proposes a real-time
video encryption protocol based on heterogeneous parallel computing, which
incorporates the SHA-256 hashes of original frames as input, employs multiple
CPU threads to concurrently generate encryption-related data, and deploys
numerous GPU threads to simultaneously encrypt pixels. By leveraging the
extreme input sensitivity of the SHA hash, the proposed protocol achieves the
required plaintext sensitivity metrics with only a single round of confusion
and XOR operations, significantly reducing computational overhead. Furthermore,
through eliminating the reliance on diffusion, it realizes the allocation of a
dedicated GPU thread for encrypting each pixel within every channel,
effectively enhancing algorithm's parallelism. The experimental results
demonstrate that our approach not only exhibits superior statistical properties
and robust security but also achieving delay-free bit-level encryption for
1920$\times$1080 resolution (full high definition) video at 30 FPS, with an
average encryption time of 25.84 ms on a server equipped with an Intel Xeon
Gold 6226R CPU and an NVIDIA GeForce RTX 3090 GPU.
