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Title:
detection and extraction method for plaintext sequential lsb steganography
Author: Tian Yu-Guo ; Lin Ze-Bing ; Liu Jiu-Fen ; Zhang Wei-Ming
Keyword: Engineering ; Error detection ; Extraction
Source: Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
Issued Date: 2012
Volume: 36, Issue:UPPL.1, Pages:12-17
Indexed Type: EI
Department: (1) Institute of Information Engineering Information Engineering University of PLA Zhengzhou 450002 China; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
Abstract: By using the statistical properties of the top bits of plaintext, a detection and extraction method for the plaintext sequential least significant bit(LSB) steganography is proposed. The LSBs of the image is obtained by sequentially scanning, and 8 sequences are gained with every bit of the first byte as the beginning and 7 sampling interval. The appropriate window length and the threshold R are chosen, the 8 sequences with the window are sectioned and advantage values of the window are calculated. If one of advantage values is greater than R, the image is judged to be a stego image. After the biggest advantage sequence is found out from 8 sequences, the beginning and the end of the secret message are estimated and the plaintext is recovered. The theoretical analysis and experimental results show that the proposed method is effective. When only 200 bytes English plaintext is embedded in an image, the proposed method can detect and extract the plaintext successfully.
English Abstract: By using the statistical properties of the top bits of plaintext, a detection and extraction method for the plaintext sequential least significant bit(LSB) steganography is proposed. The LSBs of the image is obtained by sequentially scanning, and 8 sequences are gained with every bit of the first byte as the beginning and 7 sampling interval. The appropriate window length and the threshold R are chosen, the 8 sequences with the window are sectioned and advantage values of the window are calculated. If one of advantage values is greater than R, the image is judged to be a stego image. After the biggest advantage sequence is found out from 8 sequences, the beginning and the end of the secret message are estimated and the plaintext is recovered. The theoretical analysis and experimental results show that the proposed method is effective. When only 200 bytes English plaintext is embedded in an image, the proposed method can detect and extract the plaintext successfully.
Language: 中文
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/15032
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Tian Yu-Guo,Lin Ze-Bing,Liu Jiu-Fen,et al. detection and extraction method for plaintext sequential lsb steganography[J]. Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology,2012-01-01,36(UPPL.1):12-17.
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