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Stochastic local search combined with LSB technique for image steganography

机译:随机本地搜索结合图像隐写术的LSB技术

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In this paper, we propose a steganography technique to hide a message in an image. The proposed technique combines the stochastic local search meta-heuristic (SLS) with the least significant bits method (LSB). First, we developed the basic technique of LSB to hide information in JPEG images. We found that LSB steganography method is not effective because the size of the image increases greatly after inserting information which facilitates the discovery of hidden information. In order to improve the performance, we added a meta-heuristic approach to LSB technique. We hybridized local search (LS) with LSB. Then we improved LSB by combining it with a stochastic local search (SLS). The three methods LSB, LSB + LS and LSB+ SLS are implemented and evaluated on some series of JPEG images. We decomposed the image and the secret message in 4-bits blocks. Then by applying the principle of each method, we are able to insert the secret message in the images. A key is generated and encrypted with the AES algorithm. The numerical results are interesting and demonstrate the benefits of our proposed method.
机译:在本文中,我们提出了一种隐藏在图像中的消息的隐写技术。所提出的技术将随机本地搜索元启发式(SLS)与最低有效位方法(LSB)组合。首先,我们开发了LSB的基本技术,以隐藏JPEG图像中的信息。我们发现LSB隐写方法无效,因为在插入有助于发现隐藏信息的信息之后图像的大小大大增加。为了提高性能,我们为LSB技术添加了一个元启发式方法。我们将本地搜索(LS)与LSB杂交。然后我们通过将其与随机本地搜索(SLS)组合来改进LSB。在某些系列JPEG图像上实现并评估了三种方法LSB,LSB + LS和LSB + SLS。我们将图像和秘密消息分解在4位块中。然后通过应用每种方法的原理,我们能够在图像中插入秘密消息。使用AES算法生成和加密密钥。数值结果是有趣的,并展示了我们所提出的方法的好处。

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