A novel single kernel parallel image encryption scheme based on a chaotic map.

The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one of the most widely shared data, and chaotic ciphers arouse significant interest from researchers, as traditional ciphers are not optimized for image encryption. Chaotic encryption schemes perform well for low-quality images but should be faster for real-time encryption of Full Ultra HD images. In this context, a novel parallel image cipher scheme is proposed to execute in GPU architectures, where the encryption procedure consists of a single kernel, making it different from previous chaotic ciphers and the AES. This new contribution enables our work to achieve a throughput of 130.8 GB/s on a GeForce RTX3070 and 251.6 GB/s on a Tesla V100 GPU, an increase of 37% compared to the AES and 43 times higher than the previously high for chaotic ciphers. The cipher’s security is also verified regarding multiple forms of attacks. [ABSTRACT FROM AUTHOR]