A non-extended 3D mesh secret sharing scheme adapted for FPGA processing

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Hao Kong , Zi-Ming Wu , Bin Yan , Jeng-Shyang Pan , Hong-Mei Yang
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引用次数: 0

Abstract

The existing meaningful secret sharing schemes for 3D model face the issue of model extension. To address this problem, we propose a non-extended secret 3D mesh sharing scheme. Considering the large amount of data that needs to be shared in a 3D model, we designed a circuit structure to accelerate the computation during sharing. In the sharing stage, vertex data is encoded and converted to integer data from floating-point data. This is more conducive to handling the computation in FPGA. By adjusting the length of the encoding, multiple secrets can be embedded in the vertex encoding stage. This solves the extension problem of the scheme. Experiments were conducted on a set of 3D meshes to compare the differences between the cover models and the shares. This experimental result shows that the shares maintain high fidelity with the cover meshes. Furthermore, the FPGA implementation achieves a throughput of 675Mbit/s. Simulation results show that the parallel circuit structure is 30 times faster than the serial structure. In terms of resource consumption, the circuit structure designed in this scheme occupies less than 5% of the on-chip resources.
一种适用于FPGA处理的非扩展三维网格秘密共享方案
现有的有意义的三维模型秘密共享方案都面临着模型可拓的问题。为了解决这个问题,我们提出了一种非扩展的秘密3D网格共享方案。考虑到三维模型中需要共享的数据量很大,我们设计了一种电路结构来加快共享过程中的计算速度。在共享阶段,顶点数据被编码并从浮点数据转换为整数数据。这更有利于在FPGA中处理计算。通过调整编码长度,可以在顶点编码阶段嵌入多个秘密。解决了方案的可拓性问题。在一组三维网格上进行了实验,比较了覆盖模型与份额的差异。实验结果表明,份额与覆盖网格保持了较高的保真度。此外,FPGA实现实现了675Mbit/s的吞吐量。仿真结果表明,并联电路结构的速度是串行电路结构的30倍。在资源消耗方面,本方案设计的电路结构占用片上资源不到5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Visual Communication and Image Representation
Journal of Visual Communication and Image Representation 工程技术-计算机:软件工程
CiteScore
5.40
自引率
11.50%
发文量
188
审稿时长
9.9 months
期刊介绍: The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.
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