结合小波变换与混沌键控的视频加密算法

VIDEO ENCRYPTION ALGORITHM COMBINING WAVELET TRANSFORM WITH CHAOS KEYING

针对视频加密难以平衡安全性和实时性需求的问题,提出小波变换与混沌键控相结合的视频加密算法。该算法选取三维细胞神经网络系统、三维罗斯勒系统和三维陈系统作为密钥源;混沌系统的初始值、密钥的选取和密文的像素值均与明文视频有关。在置乱加密过程中采用小波变换技术,使每一帧的数据处理量减少了75%。经实验表明,该算法的密钥敏感性和明文敏感性强,密钥空间大,统计特性完全被打破,信息熵接近于理想值,具有良好的通用性、并行性、抗噪性和抗剪裁性。小波变换和混沌键控加密技术,以及"扩散"和"一次一密"加密思想的运用,有效地平衡了加密算法安全性和实时性的关系,具有一定的实用价值。

In order to solve the problem that video encryption is difficult to balance the security and real-time requirements, we proposed a video encryption algorithm combining wavelet transform with chaos keying. We selected three-dimensional CNN system, three-dimensional Rosler system and three-dimensional Chen system as the key source. The initial value of the chaotic system, the selection of key and the pixel value of the ciphertext were all related to the plaintext video. The wavelet transform technology was used in scrambling encryption to reduce the data processing capacity of each frame by 75%. Experiments show that the algorithm has strong key sensitivity and plaintext sensitivity, and has large key space. It completely breaks statistical characteristics, and is close to the ideal value of information entropy. It has good versatility, parallelism, noise resistance and anti-clipping. Wavelet transform and chaos keying encryption technology, as well as "diffusion" and "one-time and one-secret" encryption ideas, effectively balance the relationship between the security and real time, which have certain practical value.