This paper proposes a real-time video encryption strategy based on multi-round confusion–diffusion architecture and heterogeneous parallel computing. It leverages the powerful computing capacity of the Central Processing Unit (CPU) and the high parallel capability of the Graphics Processing Unit (GPU) to perform byte generation, confusion and diffusion operations concurrently, thereby enhancing computational efficiency. Statistical and security analysis demonstrate that the proposed method exhibits exceptional statistical properties and provides resistance against different types of attacks. Encryption speed evaluation shows that it can realize latency-free 768×768 30FPS video encryption using Intel Xeon Gold 6226R and NVIDIA GeForce RTX 3090, with an average encryption time of 25.12 ms, despite performing seven rounds of confusion and six rounds of diffusion operations on each frame. Additionally, the proposed strategy is adopted to implement a drone-oriented secure video communication system, achieving latency-free 256×256 29FPS video encryption with NVIDIA Jetson Xavier NX (NVIDIA Camel ARM CPU and Volta GPU).

中文翻译：

---

基于异构并行计算的实时混沌视频加密及其在无人机安全通信中的应用

本文提出一种基于多轮混淆扩散架构和异构并行计算的实时视频加密策略。它利用中央处理单元（CPU）强大的计算能力和图形处理单元（GPU）的高并行能力，同时进行字节生成、混淆和扩散操作，从而提高计算效率。统计和安全分析表明，所提出的方法表现出出色的统计特性，并能抵抗不同类型的攻击。加密速度评估表明，使用Intel Xeon Gold 6226R和NVIDIA GeForce RTX 3090可以实现无延迟的768×768 30FPS视频加密，尽管在进行七轮混淆和六轮扩散操作的情况下，平均加密时间为25.12 ms。每一帧。此外，采用所提出的策略来实现面向无人机的安全视频通信系统，利用NVIDIA Jetson Xavier NX（NVIDIA Camel ARM CPU和Volta GPU）实现无延迟的256×256 29FPS视频加密。