| Blind Detection of LSB Steganography in Grayscale Images |
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| 作者姓名： | 胡玲娜 蒋铃鸽 何晨 |
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| 作者单位： | School of Electronic Information and Electrical Eng.，Shanghai Jiaotong Univ.，School of Electronic，Information and Electrical Eng.，Shanghai Jiaotong Univ.，School of Electronic，Information and Electrical Eng.，Shanghai Jiaotong Univ.，Shanghai 200240，China，Shanghai 200240，China，Shanghai 200240，China |
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| 摘 要： | There are many detectors for the least significant bit(LSB)steganography which is broadly used in hiding information in the digital images.The length of the hidden information is one of the most important parameters in detecting steganographic information.Using 2-D gradient of a pixel and the distance between variables the proposed method gives the length of hidden information in natural grayscale images without original image.Extensive experimental results show good performance even at low embedding rate compared with other methods.Furthermore,the proposed method also works well disregarding the status of the embedded information.
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| 关 键 词： | 变量距离 盲目检测 图像 LSB |
| 文章编号： | 1007-1172（2007）02-0239-04 |
| 修稿时间： | 2005-11-16 |
Blind Detection of LSB Steganography in Grayscale Images |
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| HU Ling-na,JIANG Ling-ge,HE Chen.Blind Detection of LSB Steganography in Grayscale Images[J].Journal of Shanghai Jiaotong university,2007,12(2):239-242. |
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| Authors: | HU Ling-na JIANG Ling-ge HE Chen |
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| Institution: | School of Electronic, Information and Electrical Eng. , Shanghai Jiaotong Univ. , Shanghai 200240, China |
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| Abstract: | There are many detectors for the least significant bit(LSB)steganography which is broadly used in hiding information in the digital images.The length of the hidden information is one of the most important parameters in detecting steganographic information.Using 2-D gradient of a pixel and the distance between variables the proposed method gives the length of hidden information in natural grayscale images without original image.Extensive experimental results show good performance even at low embedding rate compared with other methods.Furthermore,the proposed method also works well disregarding the status of the embedded information. |
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| Keywords: | least significant bit (LSB) natural grayscale images 2-D gradient distance of variables |
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