Joao Inacio Moreira Bezerra, Alexandre Molter, Gustavo Machado, Rafael Iankowski Soares, Vinícius Valduga de Almeida Camargo
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引用次数: 0
Abstract
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.
期刊介绍：
Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed.
Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application.
It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system.
The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.
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