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基于位平面统计相关的支持向量机图像隐写分析算法 被引量:2

Image Steganalysis Based on Bit-Plane Statistical Correlation Using Support Vector Machine
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摘要 随着隐写技术的发展,隐写分析引起了越来越多研究人员的关注。通过对隐写前后图像位平面的相关性分析,提出一种空域LSB通用隐写分析算法。该算法只使用了32个特征统计量,具有较低的计算复杂度。实验结果表明,此算法对嵌入消息长度小于0 3bpp的载密图像的检测准确率超过90%,多次实验也表明此算法具有很好的稳定性。 Steganalysis has attracted more and more researchers' interest with the development of steganography technique. A universal LSB image steganalysis algorithm was presented by analyzing the statistical correlations between bit_planes and pixels in the same bit_plane. The algorithm only uses 32 statistics,and have a good computational complexity. The experimental results show that the detection rate is higher than 90% when the embedded message is less than 0.3 bpp. Many tests also show the algorithm has good stability.
出处 《中山大学学报(自然科学版)》 CAS CSCD 北大核心 2004年第A02期17-20,共4页 Acta Scientiarum Naturalium Universitatis Sunyatseni
基金 国家杰出青年基金资助项目(60325208) 国家自然科学基金资助项目(60133020 60172067) 广东省自然科学基金团队资助项目(04205407)
关键词 隐写分析 复杂度 统计相关 支持向量机 steganalysis complexity statistical correlation support vector machine
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参考文献9

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