基于FPGA的Keccak算法的高吞吐量图像处理

Argyrios Sideris, Theodora Sanida, Antonios Chatzisavvas, Michael F. Dossis, M. Dasygenis
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引用次数: 1

摘要

在我们的数字世界中,人与人之间传输图像已经成为日常交流的一个重要方面。因此,需要有方法来检查传输数据的完整性和准确性。如今最著名、最安全的方法是散列。本文重点研究了Keccak算法,该算法利用我们专门的FPGA实现对图像大小为256 × 256像素的图像进行哈希。我们的实验在FPGA Intel DE2-115 (EP4CE115F29C7)和Nios II微处理器上进行。此外,对吞吐量、熵、NPCR和UACI等计算指标的研究表明,Keccak算法是专门的、安全的,并且在散列图像方面具有广泛的潜在应用。最后,我们使用块浮点硬件2 (FP2)来支持我们的方法。我们将我们的分析结果与其他研究人员使用的其他最新优化技术进行了对比,结果证明了我们的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Throughput of Image Processing with Keccak Algorithm using Microprocessor on FPGA
Transmitting images between people has been a crucial aspect of daily communication in our digital world. Therefore, methods are needed to check the integrity and accuracy of the transmitted data. The most famous and secure way today is hashing. This paper focuses on the Keccak algorithm for hashing image sizes $256\times 256$ pixels utilizing our specialized FPGA implementations. Our experiments were performed on the FPGA Intel DE2-115 (EP4CE115F29C7) and the Nios II microprocessor. Additionally, research on computational metrics like throughput, entropy, NPCR, and UACI demonstrates how the Keccak algorithm is specialized, secure, and has a wide range of potential applications for hashing images. Finally, we propped our method using the Block Floating Point Hardware 2 (FP2). We contrasted the outcomes of our analysis with other recent optimization techniques used by other researchers, and the results demonstrate our advantages.
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期刊介绍: Computer Engineering and Design is supervised by China Aerospace Science and Industry Corporation and sponsored by the 706th Institute of the Second Academy of China Aerospace Science and Industry Corporation. It was founded in 1980. The purpose of the journal is to disseminate new technologies and promote academic exchanges. Since its inception, it has adhered to the principle of combining depth and breadth, theory and application, and focused on reporting cutting-edge and hot computer technologies. The journal accepts academic papers with innovative and independent academic insights, including papers on fund projects, award-winning research papers, outstanding papers at academic conferences, doctoral and master's theses, etc.
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