A special steganalysis algorithm for LSB matching is proposed in this paper.

针对LS B匹配隐写算法，本文提出了一种专用隐写分析算法。

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From the perspective of bit plane correlation, this algorithm extracts features, USES support vector machine as a classifier to detect LSB matching.

算法从位平面相关性的角度出发提取特征值，使用支持向量机作为分类器，对LSB匹配算法进行隐写分析。

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The proposed method made use of the LSB matching method based on particle swarm optimization algorithm to embed the secret data and maintain image quality.

同时采用基于粒子群优化的LSB替换算法来嵌入隐秘信息，取得了很好的图像质量和嵌入效果。

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Experiments show that the average classification accuracy rate can be above 90% for either LSB replacement or matching steganography.

实验表明，分别对LSB替换、匹配隐写进行分析，平均分类正确率可以达到90%以上。

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Experiments show that the average classification accuracy rate can be above 90% for either LSB replacement or matching steganography.

实验表明，分别对LSB替换、匹配隐写进行分析，平均分类正确率可以达到90%以上。

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