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  • 标题:A Novel Image Steganography Method with Adaptive Number of Least Significant Bits Modification Based on Private Stego-Keys
  • 本地全文:下载
  • 作者:Associate Professor Yogendra Kumar Jain
  • 期刊名称:International Journal of Computer Science and Security (IJCSS)
  • 电子版ISSN:1985-1553
  • 出版年度:2010
  • 卷号:4
  • 期号:1
  • 页码:40-49
  • 出版社:Computer Science Journals
  • 摘要:To enhance the embedding capacity of image steganography and provide an imperceptible stego-image for human vision, a novel adaptive number of least significant bits substitution method with private stego-key based on gray-level ranges are proposed in this paper. The new technique embeds binary bit stream in 24-bits color image (Blue channel) or in 8-bits gray-scale image. The method also verifies that whether the attacker has tried to modify the secret hidden (or stego-image also) information in the stego-image. The technique embeds the hidden information in the spatial domain of the cover image and uses simple (Ex-OR operation based) digital signature using 140-bit key to verify the integrity from the stego-image. Besides, the embedded confidential information can be extracted from stego-images without the assistance of original images. The proposed method can embed 4.20 bits in each pixel of gray-scale image and 4.15 bits in each pixel of color image. The presented method gives better results than the existing methods.
  • 关键词:Steganography; stego-key; data hiding; digital image; PSNR (Peak-Signal-to-Noise-Ratio)
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