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广西师范大学学报(自然科学版) ›› 2019, Vol. 37 ›› Issue (3): 60-70.doi: 10.16088/j.issn.1001-6600.2019.03.007
周戎龙,罗玉玲*,闭金杰,岑明灿,丘森辉,廖志贤
ZHOU Ronglong,LUO Yuling*,BI Jinjie,CEN Mingcan,QIU Senhui,LIAO Zhixian
摘要: 本文针对一些传统图像串行加密算法安全性能低、加密时间长的缺陷,提出一种新型的图像并行加密算法。首先,将明文图像的初始信息设定为并行量化方案的输入信号,生成量化小数;然后设计基于混沌系统的混沌置乱和扩散矩阵,通过混淆与扩散结构对图像数据进行并行加密;最后通过Metal并行框架在iOS手持设备的GPU上进行了算法的验证与实现。测试结果表明该方案能够有效提高图像加密效率,且具有高度的明文敏感性,适合于图像数据的安全实时通信,也为通过GPU并行处理图像数据提供了新的方案。
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[1] | 覃章荣, 张超英, 丘滨, 李圆圆, 莫刘刘. 基于CUDA的格子Boltzmann数值模拟加速实现[J]. 广西师范大学学报(自然科学版), 2012, 30(4): 18-24. |
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