A new steganography technique based on genetic algorithm

Shahbaa Mohammed Abdulmaged, Nadia Mohammed Abdulmaged
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Abstract

As technology grows, it affect our daily lives becomes more penetrating. Our private information may be violated when communications media are used, to achieve information security this paper was based on a new technique of steganography using cryptography, color model and genetic algorithm. First, the secret text was encrypted with the advanced encryption standard (AES) algorithm. Second, the hiding was applied in two stages. First, the cover-image was converted in to the hue saturation intensity (HSI) color model and select one of the models, then divide it into a group of blocks and hiding the text in them by using least significant bit (LSB) method on specified bytes randomly, then using the genetic algorithm that calculates peak signal-to-noise-ratio (PSNR) for all blocks after the hiding process and thus obtain the best value for PSNR for the optimal block. Second, includes the final hiding of all blocks based on the results of the first stage of the best random distribution of bytes according to the results of the genetic algorithm. The PSNR and mean square error (MSE) measures were adopted to prove the accuracy and efficiency of the results.
基于遗传算法的隐写新技术
随着科技的发展,它对我们日常生活的影响越来越深刻。在通信媒介的使用过程中,我们的隐私信息可能会被泄露,为了实现信息安全,本文提出了一种基于密码学、颜色模型和遗传算法的隐写新技术。首先,用高级加密标准(AES)算法对密文进行加密。其次,隐藏分两个阶段进行。首先,将封面图像转换为色相饱和强度(HSI)颜色模型,选择其中一个模型,然后将其分成一组块,对指定字节随机使用最小有效位(LSB)方法隐藏文本,然后使用遗传算法计算隐藏后所有块的峰值信噪比(PSNR),从而获得最优块的最佳PSNR值。其次,包括基于第一阶段结果的所有块的最终隐藏,根据遗传算法的结果进行最佳的字节随机分布。采用PSNR和均方误差(MSE)测度验证了结果的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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