PDA: A private domains approach for improved MSB steganography image

Sura I.Mohammed Ali, Maryam Ghazi Ali, Lateef Abd Zaid Qudr

Abstract


Steganography is one of the secure techniques of protecting data inside a cover object. Images are the most popular cover objects for Steganography. It provides secret message between users. The current paper presents an enhanced Most Significant Bit (MSB) technique. In this paper, a Private Domains Approach (PDA) is proposed; each domain consists of RGB of a pixel of cover image. Bit No.5 is applied to store the secret information in light of the bit that achieved highest steganography rate and the less probability of error rate.Consequently, this technique is allowing an improved version of MSB technique based on Mean-Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR). The experimental results show that our schemes perform well in terms of image quality. Generally; MSB technique produced the best stego-image quality in this paper.

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References


Z. Khan, M. Shah, M. Naeem, T. Mahmood, S.N.A. Khan, N. Amin, D. Shahzad, “Threshold based Steganography: A Novel Technique for Improved Payload and SNR”, International Arab Journal of Information Technology, vol. 13, No. 4, pp.380-386, 2016.

S. Lyu and H. Farid, “Steganalysis using higher-order image statistics,”IEEE Trans. Inf. Forensics Security, vol. 1, no. 1, pp. 111–119, Mar.2006.

O.Akinola, Adebanke A.Olatidoye," ON THE IMAGE QUALITY AND ENCODING TIMES OF LSB, MSB AND COMBINED LSB-MSB STEGANOGRAPHY ALGORITHMS USING DIGITAL IMAGES ", International Journal of Computer Science & Information Technology (IJCSIT) , Vol 7, No 4. , pp.79-91, August 2015.

I. Al Barazanchi and H. R. Abdulshaheed, “Adaptive Illumination Normalization Framework based on Decrease Light Effect for Face Recognition,” Jour Adv Res. Dyn. Control Syst., vol. 11, no. 01, pp. 1741–1747, 2019. [5] Kanzariya Nitin K. and Nimavat Ashish V. ,"Comparison of Various Images Steganography Techniques", International Journal of Computer Science and Management Research, Vol. 2, Issue 1, 2013.

Rohit Garg and Tarun Gulati ,"Comparison of Lsb & Msb Based Steganography in Gray-Scale Images", International Journal of Engineering Research & Technology (IJERT), Vol. 1, Issue 8,2012.

M. Islam, M. Shah, Z. Khan, T. Mahmood, M.J. Khan, “A New Symmetric Key Encryption Algorithm Using Images as Secret Keys” 13th IEEE International Conference on Frontiers of Information Technology, pp. 1-5, 2015.

J. Fridrich, M. Goljan, and R. Du, “Detecting LSB steganography in color and gray-scale images,” IEEE MultiMedia, vol. 8, no. 4, pp. 22-28, October 2001

Fu Bing, Zhou Xiansan," Information Hiding Technique in Most Significant Bit of Still Image", IEEE, 2009.

R. Zhibin, S. Yongxin, Y. Yinghui and Y. Huai-jiang, “Study of the MSB information- hiding technique in a carrier image,” Optics and Precision Engineering, pp.182-185, Apr . 2002, (in Chinese).

Z. Binglian and X. JieYong, “A kind of anti-cuts information hiding algorithm of MSB for spatial domain,” Computer Applications, pp138- 140, Dec. 2007, (in Chinese).

A. A. Ali and A. H. Seddik, “New Text Steganography Technique by using Mixed-Case Font”, International Journal of Computer Applications, Vol. 62, No. 3, PP. 6-9, January 2013.

N. J. Qasim and I. Barazanchi, “Unconstrained Joint Face Detection and Recognition in Video Surveillance System,” Jour Adv Res. Dyn. Control Syst., vol. 11, no. 1, pp. 1855–1862, 2019.

Y. Yalman, F. Akar, and I. Erturk, "An image interpolation based reversible data hiding method using R-weighted coding," IEEE 13th International Conference on Computational Science and Engineering, pp. 346-350, 2010.

Z. Abdulelah Al-Sudani, S. Q. Salih, A. Sharafati, and Z. M. Yaseen, “Development of multivariate adaptive regression spline integrated with differential evolution model for streamflow simulation,” J. Hydrol., vol. 573, no. 2, pp. 1–12, 2019.

S. A. Raj and T. Soumya, “A Youthful Procedure for Spatial Domain Steganography”, Third International Conference on Advances in Computing and Communications, IEEE, PP. 300-303, 2013.

M. Hussain and M. Hussain, "A survey of image steganography techniques," International Journal of Advanced Science and Technology, vol. 54, pp. 113-124, 2013.

A. S. Abdullah, M. A. Abed, and I. Al Barazanchi, “Improving face recognition by elman neural network using curvelet transform and HSI color space,” Period. Eng. Nat. Sci., vol. 7, no. 2, pp. 430–437, 2019.

Z. Khan, M. Shah, M. Naeem, D. Shahzad, T. Mahmood, “LSB Steganography using Bits Complementation”, International Conference on Chemical Engineering and Advanced Computational Technologies, Pretoria, South Africa, pp. 84-87, 2014.




DOI: http://dx.doi.org/10.21533/pen.v7i3.776

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Copyright (c) 2019 Sura I.Mohammed Ali, Maryam Ghazi Ali, Lateef Abd Zaid Qudr

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This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License