用混沌加密与哈夫曼编码一体压缩加密视频，又快又安全。
A Method for Securely Transmitting Large Video Files Using Chaotic Compression and Encryption
- 混沌映射生成随机序列，与哈夫曼编码结合实现同步压缩加密。
- 压缩比更高，吞吐量更大，PSNR达60.23，数据损失率低于0.8%。
- 适合实时传输大视频的高安全场景，如医疗或安防监控。
传统压缩与加密方法通常耗时且资源消耗大，不适合实时应用。现有研究虽试图解决此问题，但未提出有效方案。本文提出一种专为大视频文件设计的同步数据压缩与加密（SDCE）系统。该方法将基于逻辑映射的混沌加密与哈夫曼编码相结合，形成统一框架，显著降低计算开销和处理时间，同时提升数据安全性。采用逻辑映射生成伪随机混沌序列，通过XOR运算实现加密，确保对未授权访问的强防护。实验结果表明，该方法在熵值和雪崩效应方面优于现有技术，具备更高的吞吐量、压缩比、峰值信噪比（PSNR=60.23）、更低的比特率（BPC减少18.7%），且数据丢失率低于0.8%，进一步证明其在数据完整性上的优势。
原文摘要 · Abstract (English)
Conventional techniques for compression and encryption are frequently laborious and resource-intensive, rendering them inappropriate for real-time applications. A plethora of research has been presented in the current literature to address these difficulties together; yet, it fails to propose any suitable strategy. Therefore, this study introduces an innovative simultaneous data compression and encryption (SDCE) system specifically designed for large video files. The methodology amalgamates chaotic map-based encryption with Huffman encoding for lossless compression into a cohesive framework, markedly diminishing computational overhead and processing duration while augmenting data security. The logistic map is utilized to produce a pseudo-random chaotic sequence for XOR-based encryption, guaranteeing robust security against unwanted access. The research findings demonstrate its efficacy in enhancing data privacy compared to other existing and related strategies, particularly in terms of generating greater entropy and avalanche effects. It produces superior throughput, compression ratio, peak signal-to-noise ratio (PSNR), and reduced bits per rate (BPC), along with a smaller percentage of data loss, which further supports its ability to provide enhanced data integrity compared to other existing methods.
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