Constructive Role of SFC & RGB Fusion versus Destructive Intrusion

Digital Crime is the latest terrorist who can intrude into any domain by breaking any type of firewall or secret code without frittering even a single drop of blood. To fight this terror, a cryptic army was evolved but not good enough to succeed. As a consequence, an effective commando namely steganography has been evolved who can combat any type of destructive intrusion. In this paper, Space Filling Curve (SFC) and RBG colour compound stego action against the threat of digital crime has been proposed. The proposed stego system scans the colour image pixel by pixel along a complex path, not row by row, and hides the variable k bit of the secret data in each pixel visited in the order defined by a Space-Filling Curve (SFC) such as the Hilbert curve and the Moore curve traversing paths. Such curves visit each pixel in the color image which is split into Red, Green and Blue components. The effectiveness of the proposed stego system has been estimated by computing bit error rate (BER), Mean square error(MSE),Peak Signal to Noise Ratio (PSNR) and Mean Structural Similarity index(MSSIM). This paper also illustrates how security has been enhanced using this algorithm.

[1]  Andreas Westfeld.  Space filling curves in steganalysis , 2005, IS&T/SPIE Electronic Imaging.

[2]  Ja-Chen Lin,et al.  A simple and high-hiding capacity method for hiding digit-by-digit data in images based on modulus function , 2003, Pattern Recognit..

[3]  Bruce Schneier,et al.  Applied cryptography : protocols, algorithms, and source codein C , 1996 .

[4]  Markus G. Kuhn,et al.  Information hiding-a survey , 1999, Proc. IEEE.

[5]  Min-Shiang Hwang,et al.  A high quality steganographic method with pixel-value differencing and modulus function , 2008, J. Syst. Softw..

[6]  Niels Provos,et al.  Hide and Seek: An Introduction to Steganography , 2003, IEEE Secur. Priv..

[7]  Ki-Ryong Kwon,et al.  An Image Steganography Using Pixel Characteristics , 2005, CIS.

[8]  Lee-Ming Cheng,et al.  Hiding data in images by simple LSB substitution , 2004, Pattern Recognit..

[9]  Ja-Chen Lin,et al.  Image hiding by optimal LSB substitution and genetic algorithm , 2001, Pattern Recognit..

[10]  Walter Bender,et al.  Techniques for Data Hiding , 1996, IBM Syst. J..

[11]  Chin-Chen Chang,et al.  Reversible hiding in DCT-based compressed images , 2007, Inf. Sci..

[12]  Whitfield Diffie,et al.  Special Feature Exhaustive Cryptanalysis of the NBS Data Encryption Standard , 1977, Computer.

[13]  O. Roeva,et al.  Information Hiding: Techniques for Steganography and Digital Watermarking , 2000 .

[14]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[15]  H. Sagan.  Space-filling curves , 1994 .

[16]  Peter Jorgensen,et al.  Applied cryptography: Protocols, algorithm, and source code in C: By Bruce Schneier. New York: John Wiley, 1993. 618 p. $44.95 (paper). ISBN 0-471-59756-2 , 1996 .

[17]  Tuomas Aura,et al.  Practical Invisibility in Digital Communication , 1996, Information Hiding.

[18]  Adi Shamir,et al.  A method for obtaining digital signatures and public-key cryptosystems , 1978, CACM.

[19]  Lisa M. Marvel,et al.  Spread spectrum image steganography , 1999, IEEE Trans. Image Process..

[20]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[21]  Chin-Chen Chang,et al.  Lossless data hiding for color images based on block truncation coding , 2008, Pattern Recognit..

[22]  Chin-Chen Chang,et al.  A new steganographic method for color and grayscale image hiding , 2007, Comput. Vis. Image Underst..

[23]  Po-Yueh Chen,et al.  A DWT Based Approach for Image Steganography , 2006 .