detection and extraction method for plaintext sequential lsb steganography

ISCAS OpenIR

	detection and extraction method for plaintext sequential lsb steganography
	Tian Yu-Guo; Lin Ze-Bing; Liu Jiu-Fen; Zhang Wei-Ming
	2012
发表期刊	Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
ISSN	1005-9830
卷号	36 期号:UPPL.1 页码:12-17
摘要	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.; 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.
收录类别	EI
关键词	Engineering Error Detection Extraction
部门归属	(1) Institute of Information Engineering Information Engineering University of PLA Zhengzhou 450002 China; (2) Institute of Software Chinese Academy of Sciences Beijing 100190 China
语种	中文
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15032
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	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,2012,36(UPPL.1):12-17.
APA	Tian Yu-Guo,Lin Ze-Bing,Liu Jiu-Fen,&Zhang Wei-Ming.(2012).detection and extraction method for plaintext sequential lsb steganography.Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology,36(UPPL.1),12-17.
MLA	Tian Yu-Guo,et al."detection and extraction method for plaintext sequential lsb steganography".Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 36.UPPL.1(2012):12-17.