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Novel algorithm and architectures for high-speed low-power ConText-based steganography

机译:高速低功耗基于ConText的隐写技术的新颖算法和体系结构

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摘要

Least Significant Bit (LSB) insertion method is a popular type of steganographic algorithms in spatial domain. Nevertheless, in this approach essential measures should be considered to enhance the both visual quality and security properties. ConText is a revised version of LSB method to hide secret information in image carrier with enhanced visual imperceptibility. This paper introduces a novel algorithm based on ConText, called the Modified ConText (MCT). The proposed algorithm is based on using a threshold level to compare pixels in a sub-block which leads to faster and power efficient implementation. We strengthen the ConText algorithm which can embed data in a more noisy-like area to increase security and visual quality. Moreover, a high-speed hardware implementation of the MCT algorithm is also presented by employing faster comparisons. In addition to assigning threshold value that can lead to a more efficient architecture, the pre-computation low-power technique is also employed to reduce power consumption. The proposed architecture is synthesized by the ISE tool and implemented on a Spartan-3 FPGA device. The results imply that the proposed architecture outperforms the system frequency, the usage of FPGA resources, and power consumption by approximately 7%, 30%, and 64%, respectively.
机译:最低有效位(LSB)插入方法是空间域中一种流行的隐写算法。但是,在这种方法中,应考虑采取必要的措施来增强视觉质量和安全性。 ConText是LSB方法的修订版,用于以增强的视觉感知能力将秘密信息隐藏在图像载体中。本文介绍了一种基于ConText的新颖算法,称为Modified ConText(MCT)。所提出的算法基于使用阈值水平来比较子块中的像素,这导致更快和功率有效的实现。我们加强了ConText算法,该算法可以将数据嵌入更嘈杂的区域,以提高安全性和视觉质量。此外,还通过采用更快的比较来提出了MCT算法的高速硬件实现。除了分配可导致更高效架构的阈值外,还采用了预计算低功耗技术来降低功耗。所提出的架构是由ISE工具合成的,并在Spartan-3 FPGA器件上实现。结果表明,所提出的架构分别比系统频率,FPGA资源使用率和功耗分别高出约7%,30%和64%。

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