Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Linear codes for high payload steganography
Discrete Applied Mathematics
Image copyright protection with forward error correction
Expert Systems with Applications: An International Journal
On steganographic embedding efficiency
IH'06 Proceedings of the 8th international conference on Information hiding
Constructing good covering codes for applications in steganography
Transactions on data hiding and multimedia security III
Improved detection of LSB steganography in grayscale images
IH'04 Proceedings of the 6th international conference on Information Hiding
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
Matrix embedding for large payloads
IEEE Transactions on Information Forensics and Security
An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization
IEEE Transactions on Multimedia
On the limits of steganography
IEEE Journal on Selected Areas in Communications
A steganalysis by adjacency pixel bits structure
Computers and Electrical Engineering
An adaptive LSB matching steganography based on octonary complexity measure
Multimedia Tools and Applications
| Hi-index | 0.00 |
Embedding of confidential data in the least significant bit of an image is still an attractive method of steganography. Utilizing the full capacity of cover images by embedding one bit of data per pixel, using methods such as LSB flipping or LSB matching, usually decreases the security, making the algorithm vulnerable to steganalytic attacks. In this paper, we propose a novel efficient high payload 卤1 steganographic method based on a special two variable binary function. This function uses the information of the least two significant bit planes of the cover image for the embedding and extraction purposes. Embedding efficiency, defined as the number of embeddable bits per one change in the cover medium, is a good criterion for concurrent evaluation of the capacity and security. Rather than randomly selecting +1 or 驴1, we achieve higher embedding efficiencies by choosing the correct modification component. In the generalized form of the proposed method, n bits of data are embedded in n pixels of the cover medium, by causing one unit change in only one third of these pixels. Analytical and experimental results demonstrated that the proposed method provides higher embedding efficiency than the other LSB embedding schemes. The proposed method is also applicable to other digital cover media.