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Histogram Shifting-Based Quick Response Steganography Method for Secure Communication
Author(s) -
Geno Peter,
Anli Sherine,
Yuvaraja Teekaraman,
Ramya Kuppusamy,
Arun Radhakrishnan
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/1505133
Subject(s) - computer science , steganography , peak signal to noise ratio , mean squared error , encryption , information hiding , histogram , decoding methods , vector quantization , algorithm , data mining , artificial intelligence , pattern recognition (psychology) , image (mathematics) , computer security , statistics , mathematics
Steganography is a tool which allows the data for transmission by concealing secret information in a tremendously growing network. In this paper, a novel technique quick response method (QRM) is proposed for the purpose of encryption and decryption. Existing system uses side match vector quantization (SMVQ) technique which has some challenges such as security issues and performance issues. To handle the security and performance issues, the proposed system uses two methods, namely, quick response method and shifting method. In the proposed system, encoding part calculates the performance for capacity, PSNR (peak signal-to-noise ratio), MSE (mean square error), and SSIM (structural similarity index method), and the decoding part calculates the performance of MSE (mean square error) and PSNR (peak signal-to-noise ratio). The shifting method is used to increase the data hiding capacity. In this system, the encryption part embeds the secret image using steganography and the decryption part extracts the original image. By analyzing and comparing the proposed system with the existing system, it is proved that the system proposed was much better than the existing systems.

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