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Best Hiding Capacity Scheme for Variable Length Messages Using Particle Swarm Optimization

机译:使用粒子群算法的变长消息最佳隐藏容量方案

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Steganography is an art of hiding information in such a way that prevents the detection of hidden messages. Besides security of data, the quantity of data that can be hidden in a single cover medium, is also very important. We present a secure data hiding scheme with high embedding capacity for messages of variable length based on Particle Swarm Optimization. This technique gives the best pixel positions in the cover image, which can be used to hide the secret data. In the proposed scheme, k bits of the secret message are substituted into k least significant bits of the image pixel, where k varies from 1 to 4 depending on the message length. The proposed scheme is tested and results compared with simple LSB substitution, uniform 4-bit LSB hiding (with PSO) for the test images Nature, Baboon, Lena and Kitty. The experimental study confirms that the proposed method achieves high data hiding capacity and maintains imperceptibility and minimizes the distortion between the cover image and the obtained stego image.
机译:隐写术是一种隐藏信息的技术,它可以防止检测到隐藏的消息。除了数据的安全性之外,可以隐藏在单个覆盖介质中的数据量也非常重要。我们提出了一种基于粒子群优化的可变长度消息的高嵌入能力的安全数据隐藏方案。此技术在封面图像中提供了最佳像素位置,可用于隐藏秘密数据。在提出的方案中,将秘密消息的k位替换为图像像素的k个最低有效位,其中k取决于消息的长度从1到4变化。测试了所提出的方案,并将结果与​​简单的LSB替换,均匀的4位LSB隐藏(带有PSO)进行了比较,以用于测试图像Nature,狒狒,Lena和Kitty。实验研究证实,该方法具有较高的数据隐藏能力,并保持了不易察觉的程度,并且使封面图像与所获得的隐身图像之间的失真最小。

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