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International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Region Secure and Pattern Based Alternate 2B-3C Steganography Approach for Data Security in Color Images

Author(s): Kapil Juneja*

Volume 9, Issue 3, 2019

Page: [330 - 344] Pages: 15

DOI: 10.2174/2210327909666181217124423

Price: $65

Abstract

Background and Objective: The public and group communication carried out in the social, cloud, and mobile networks suffer from unauthorized users. The data security is required for secure authentication, monetary transactions and other sensitive information. The steganography methods empower the user with invulnerable communication in public domain. In this paper, a region secure and pattern based alternate 2B-3C (2Bit-3Channel) Steganography method is proposed to improve the content reliability and data security.

Methods: In this method, the cover pixels are retrieved by applying the spiral rectangular pattern over the cover image. This spiral pattern also secures the core content region and the pixels from the core ROI (Region of Interest) is used as a cover only for larger size secret information. In this proposed steganography method, two channels are considered alternatively based on the defined rules. The LSB (Least Significant Bit) of both channels is XOR with input data bits and key to perform data hiding. The method is applied on real time color images taken from COREL and USC-SIPI-ID. The evaluation of proposed steganography approach is done using MSE (Mean Square Error), PSNR (Peak Signal-to-Noise Ratio), BER (Bit Error Rate), NCC (Normalized Cross Correlation) and SSIM (Structural Similarity Index Matrix).

Result: The comparative results are generated for 50 real time images against the existing LSB (Least Significant Bit), LSBM (Least Significant Bit Modulation), LSBMR (Least Significant bit Matched Revisited), SCC (Stego Color Cycle), SHSI (Simple Hue-Saturation-Intensity), HIS-MLSB(Simple Hue-Saturation-Intensity-Modified LSB) and IMMEA(Iterative Magic Matrix Encryption Algorithm) methods.

Conclusion: The experimentation results verified that the proposed 2B-3C approach improved the data hiding in qualitative and quantitative aspects.

Keywords: Color images, data security, LSB, spatial, steganography, PVD.

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[1]
Muhammad K, Sajjad M, Mehmood I, Rho S, Baik SW. Image steganography using uncorrelated color space and its application for security of visual contents in online social networks. Future Gener Comput Syst 2018; 86: 951-60.
[2]
Mathivanan P, Ganesh AB. Colour image steganography using XOR multi-bit embedding process. In: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2017; pp. IEEE. 1980-8.
[3]
Kasapbasi MC, Elmasry W. New LSB-based colour image steganography method to enhance the efficiency in payload capacity, security and integrity check. Sadhana 2018; 43: 1-14.
[4]
Çataltaş Ö, Tütüncü K. Comparison of LSB image steganography technique in different color spaces. In: 2017 international artificial intelligence and data processing symposium (IDAP). 2017. IEEE pp 1-6..
[5]
Valandar MY, Ayubi P, Barani MJ. A new transform domain steganography based on modified logistic chaotic map for color images. J Inf Secur Appl 2017; 34(2): 142-51.
[6]
Ahani S, Ghaemmaghami S. Colour image steganography method based on sparse representation. IET Image Process 2015; 9(6): 496-505.
[7]
Al-Omari ZY, Al-Taani AT. Secure LSB steganography for colored images using character-color mapping. In: 2017 8th International Conference on Information and Communication Systems (ICICSM. 2017. Irbid, IEEE pp. 104-10.
[8]
Patel HN, Khant DR, Prajapati D. Design of a color palette based image steganography algorithm for fractal images. In: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). 2017; pp. Chennai, IEEE. 2584-9.
[9]
Zhou RG, Hu W, Fan P, Luo G. Quantum color image watermarking based on Arnold transformation and LSB steganography. Int J Quant Inf 2018; 16(03)1850021
[10]
Thakur RK, Saravanan C. Analysis of steganography with various bits of LSB for color images. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). 2016; pp. Chennai, IEEE . 2154-8.
[11]
El-Emam NN, Al-Diabat M. A novel algorithm for colour image steganography using a new intelligent technique based on three phases. Appl Soft Comput 2015; 37: 830-46.
[12]
Li P, Lu A. LSB-based steganography using reflected gray code for color quantum images. Int J Theor Phys 2018; 57(5): 1516-48.
[13]
Sultana Z, Jannat F, Saumik SS, Roy N, Datta NK, Islam MN. A new approach to hide data in color image using LSB steganography technique. In: 2017 3rd International Conference on Electrical Information and Communication Technology (EICT) . 2017. Khulna, IEEE pp. 1-6.
[14]
Perumal K, Muthusamy S, Gengavel G. Robust multitier spatial domain secured color image steganography in server environment. Cluster Comput 2017; 1-9. [DOI: https://doi.org/10.1007/s1058].
[15]
Muhammad K, Ahmad J, Rehman NU, Jan Z, Sajjad M. CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method. Multimedia Tools Appl 2017; 76(6): 8597-626.
[16]
Majeed MA, Sulaiman R. An improved LSB image steganography technique using bit-inverse in 24 bit colour image. J Theor App Inf Technol 2015; 80(2): 342-8.
[17]
Walia GS, Makhija S, Singh K, Sharma K. Robust stego-key directed LSB substitution scheme based upon cuckoo search and chaotic map. Optik 2018; 170: 106-24.
[18]
Banharnsakun A. Artificial bee colony approach for enhancing LSB based image steganography. Multimedia Tools Appl 2018; 77(20): 1-14.
[19]
Shukur WA, Jabbar KK. Information hiding using lsb technique based on developed pso algorithm. Int J Elect Comp Eng 2018; 8(2): 1156-68.
[20]
Das SK, Dhara BC. An LSB based novel data hiding method using extended LBP. Multimedia Tools Appl 2018; 77(12): 15321-51.
[21]
Jung KH. Data hiding scheme improving embedding capacity using mixed PVD and LSB on bit plane. J Real-Time Image Process 2018; 14(1): 127-36.
[22]
Khodaei M, Bigham BS, Faez K. Adaptive data hiding, using pixel-value-differencing and LSB substitution. Cybern Syst 2016; 47(8): 617-28.
[23]
Chakraborty S, Jalal AS, Bhatnagar C. LSB based non blind predictive edge adaptive image steganography. Multimedia Tools Appl 2017; 76(6): 7973-87.
[24]
Rawat D, Bhandari VA. Steganography technique for hiding image in an image using LSB method for 24 bit color image. Int J Comput Appl 2013; 64(20): 15-9.
[25]
Laaksonen J, Koskela M, Laakso S, Oja E. PicSOM-content-based image retrieval with self-organizing maps. Pattern Recognit Lett 2000; 21: 1199-207.
[26]
Cheng WC, Pedram M. Chromatic encoding: A low power encoding technique for digital visual interface. IEEE Transon Consum Electron 2004; 50: 320-8.
[27]
Luo W, Huang F, Huang J. Edge adaptive image steganography based on LSB matching revisited. IEEE T Inf Foren Sec 2010; 5: 201-14.
[28]
Mielikainen J. LSB matching revisited. Signal Process Lett 2006; 13: 285-7.
[29]
Bailey K, Curran K. An evaluation of image based steganography methods. Multimedia Tools Appl 2006; 30: 55-88.
[30]
Muhammad K, Ahmad J, Farman H, Zubair M. A novel image steganographic approach for hiding text in color images using HSI color model. Middle East J Sci Res 2014; 22: 647-54.
[31]
Muhammad K, Sajjad M, Mehmood I, Rho S, Baik S. A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image. Multimedia Tools Appl 2016; 75(22): 14867-93.

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