Original scientific paper
https://doi.org/10.1080/00051144.2019.1579434
Computational intelligence-based steganalysis comparison for RCM-DWT and PVA-MOD methods
T. D. Sairam
; Department of Electronics and Communication Engineering, SKR Engineering College, Nazarath Pettai, Chennai, Tamil Nadu, India
K. Boopathybagan
; Department of Electronics Engineering, Anna University, MIT Campus, Chromepet, Chennai, Tamilnadu, India
Abstract
This research article proposes data hiding technique for improving the data hiding procedure and securing the data transmission with the help of contrast mapping technique along with advanced data encryption standard. High data hiding capacity, image quality and security are the measures of steganography. Of these three measures, number of bits that can be hidden in a single cover pixel, bits per pixel (bpp), is very important and many researchers are working to improve the bpp. We propose an improved high capacity data hiding method that maintains the acceptable image quality that is more than 30 dB and improves the embedding capacity higher than that of the methods proposed in recent years. The method proposed in this paper uses notational system and achieves higher embedding rate of 4 bpp and also maintain the good visual quality. To measure the efficiency of the proposed information hiding methodology, a simulation system was developed with some of impairments caused by a communication system. PSNR (Peak Signal to Noise ratio) is used to verify the robustness of the images. The proposed research work is verified in accordance to noise analysis. To evaluate the defencing performance during attack RS steganalysis is used.
Keywords
AES; DES; stenographic; steganalysis; PSNR; PVD; RCM_DWT and PVA_MOD
Hrčak ID:
239800
URI
Publication date:
28.7.2019.
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