首页> 外文会议>IEEE International Conference on Big Data Security on Cloud >Secret Image Sharing Based on Error-Correcting Codes
【24h】

Secret Image Sharing Based on Error-Correcting Codes

机译:基于纠错码的秘密图像共享

获取原文

摘要

In traditional (k, n) threshold secret image sharing (SIS), a secret image is encrypted into n shadow images (also called shares) distributed to n associated participants. The secret image can be recovered by collecting any k or more shadow images, i.e., SIS is loss-tolerant. In SIS research domain, visual cryptography scheme (VCS) also called visual secret sharing (VSS) and Shamir's polynomial-based SIS scheme are the primary branches. Whereas, VCS mainly focuses on lossy recovery for binary secret image with pixel expansion, and most Shamir's polynomial-based SIS is not directly lossless. In this paper, we propose a SIS scheme based on error-correcting codes. Error-correcting code has the features of loss-tolerant and lossless recovery due to it has the strict mathematical relations of information values and check values, which has been widely used in signal communications. The loss-tolerant and lossless recovery features of error-correcting codes are utilized in the proposed scheme to achieve (k, n) threshold SIS with really lossless recovery. In addition, in the proposed scheme the size of each shadow image is smaller than the size of the original secret image. Experiments are conducted to evaluate the efficiency of the proposed scheme.
机译:在传统的(k,n)阈值秘密图像共享(SIS)中,将秘密图像加密到分发给N相关参与者的N个暗影图像(也称为股份)。可以通过收集任何k或更多张阴影图像来恢复秘密图像,即,SIS是易丢失的。在SIS研究域中,视觉加密方案(VCS)也称为Visual Secret Sharing(VSS)和Shamir基于多项式的SIS方案是主要分支。然而,VCS主要关注具有像素扩展的二进制秘密图像的有损恢复,并且大多数Shamir的基于多项式的SIS不直接无损。在本文中,我们提出了基于纠错码的SIS方案。错误校正代码具有丢失的功能,并且由于它具有信息值的严格数学关系和检查值,这已被广泛用于信号通信。纠错码的损失耐受和无损恢复特征在所提出的方案中使用,以实现(k,n)阈值SIS,具有真正无损的恢复。另外,在所提出的方案中,每个阴影图像的大小小于原始秘密图像的大小。进行实验以评估提出方案的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号