Publication Type : Journal Article
Publisher : Procedia Computer Science
Source : Procedia Computer Science, Volume 167, p.302-312 (2020)
Url : https://www.sciencedirect.com/science/article/pii/S1877050920306931
Keywords : Linear block codes, MSE, PSNR, Steganography
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2020
Abstract : Steganographic schemes are used in many fields, as it provides high-security transmission of messages. The strength of the steganographic scheme depends on embedding efficiency. Embedding efficiency is understood as the average number of random data bits that must be embedded in an object per one embedding change. The below-done work introduces an efficient embedding technique using various linear block codes useful to both spatial and frequency domain of digital images. Linear block coding algorithms like binary hamming code, Random linear code, Cyclic code, Reed Solomon code, etc., are applied to embed restricted data inside the image, which improves embedding efficiency. Higher embedding efficiency translates to better steganographic security. The Mean squared error (MSE), Peak Signal to noise ratio (PSNR), Structural Similarity Index (SSIM), Normalized Absolute Error (NAE) and Correlation Coefficient values for each algorithm is calculated and compared. Histogram attack is one of the steganalysis techniques which is used in this paper to confirm the security provided to the restricted data. This comparison shows that Binary Hamming code in the spatial domain and transform domain provides better results as compared to the other coding theory algorithms.
Cite this Research Publication : Malathi P., M, A. Sridhar, Paliwal, A., and Dr. Gireesh K. T., “Maximizing the Embedding Efficiency Using Linear Block Codes in Spatial and Transform Domains”, Procedia Computer Science, vol. 167, pp. 302-312, 2020.