...
首页> 外文期刊>Applied Soft Computing >Hamiltonian path based image steganography scheme with improved imperceptibility and undetectability
【24h】

Hamiltonian path based image steganography scheme with improved imperceptibility and undetectability

机译:基于Hamiltonian路径的图像隐写方案,具有改善的难以察觉和未检测性

获取原文
获取原文并翻译 | 示例
           

摘要

Steganography is the art of concealing secret information in some cover medium (picture, text etc.) which is being used at large scale in different security systems. Various schemes of data hiding in images have been proposed over the last two decades that focus on improving the visual quality of the cover image. But there is always a trade-off between imperceptibility and payload. Another important issue is data security. It is known that histograms can reveal the existence and quantum of data hidden in a stego image. So, the main challenge of high capacity data embedding schemes is to reduce the image distortion as well as to keep the data secure by making use of alternate mechanisms such as secret keys. In this paper, we propose a novel data hiding scheme with two-fold objective. Data security is ensured by making use of a Hamiltonian path to generate a secret key for accessing data embedding patterns. Due to the complexity of Hamiltonian path generation, the embedding patterns become almost impossible to guess, even if the presence of secret data is observed using steganographic attacks. Secondly, two optimization strategies are proposed to minimize the embedding effect on the stego image. While the first strategy focuses on reducing the bit-flipping cost, the other strategy improves histogram distortion. The proposed method is shown to outperform some of the existing and recent approaches both in terms of payload and imperceptibility. (C) 2018 Elsevier B.V. All rights reserved.
机译:隐写术是隐藏在某些覆盖介质(图片,文本等)中的秘密信息的艺术,这些信息在不同的安全系统中正在大规模使用。在过去的二十年中,已经提出了各种数据隐藏在图像中的数据方案,其专注于提高封面图像的视觉质量。但是难以忍受性和有效载荷之间总是有权衡。另一个重要问题是数据安全性。众所周知,直方图可以揭示隐藏在SEGO图像中的存在和量子。因此,高容量数据嵌入方案的主要挑战是降低图像失真,并通过利用诸如秘密密钥的替代机制来保持数据安全。在本文中,我们提出了一种具有两倍目标的新型数据隐藏方案。通过使用Hamiltonian路径来生成用于访问数据嵌入模式的秘密密钥来确保数据安全性。由于Hamiltonian途径的复杂性,即使使用书签攻击观察到秘密数据的存在,嵌入模式几乎不可能猜测。其次,提出了两种优化策略,以最大限度地减少对SEGO图像的嵌入效应。虽然第一个策略侧重于降低位翻转成本,但其他策略提高了直方图失真。所提出的方法显示出在有效载荷和难以察觉中表现出一些现有的和最近的方法。 (c)2018 Elsevier B.v.保留所有权利。

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