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Affine Boolean Classification with FPGA Implementation on Secret Image Sharing

机译:基于秘密图像共享的FPGA仿射布尔分类

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This paper proposes an (n, n)-threshold secret image sharing (SIS) scheme with equal size in shares that are obtained on affine Boolean classification. The two sets of bit patterns, formed from the fixed and the variable bit positions of this classification, are used to develop the shares. Simplicity in Boolean operations leads to its hardware realization in Field Programmable Gate Array (FPGA) platform using Xilinx ISE design suite 14.5 (device family XC3S700A-4FG484). The proposed SIS scheme shows robustness against various operations including random gain scaling. FPGA architecture, for an 8 bits/pixel ( 8×8) secret image, offers a throughput of 133.4 Mbps at frequency of 288.749 MHz.
机译:本文提出了一种仿射布尔分类所获得的具有相同大小份额的(n,n)阈值秘密图像共享(SIS)方案。由该类别的固定和可变位位置形成的两组位模式用于产生份额。布尔运算的简单性使其可以使用Xilinx ISE设计套件14.5(设备系列XC3S700A-4FG484)在现场可编程门阵列(FPGA)平台中实现其硬件。所提出的SIS方案显示出对包括随机增益缩放的各种操作的鲁棒性。针对8位/像素(8×8)秘密图像的FPGA架构在288.749 MHz的频率下提供133.4 Mbps的吞吐量。

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