Open AccessReversible Secured Data Hiding using Binary Encryption and Digital Bit Modification Scheme
Author(s) -
Sunita Waykole,
A. Sharma
Publication year - 2022
Publication title -
transdisciplinary journal of engineering and science
Language(s) - English
Resource type - Journals
ISSN - 1949-0569
DOI - 10.22545/2022/00181
Subject(s) - payload (computing) , encryption , computer science , information hiding , steganography , cover (algebra) , peak signal to noise ratio , least significant bit , bitstream , digital image , cryptography , digital watermarking , digital media , covert channel , computer security , image (mathematics) , computer vision , algorithm , image processing , decoding methods , world wide web , mechanical engineering , network packet , engineering , operating system , cloud computing , security information and event management , cloud computing security
The information is getting precious day by day because of the digital revolution and more reach exposure of citizens to technology. Information security is in demand and the topmost priority among researchers to develop data security systems. Image steganography is an invisible data hiding scheme, although it uses visual image media to hide information. Steganography is not only limited to images. There are other media like text, audio, or video that can hide information. In this research work, a novel data hiding is being developed using an image as cover media. During the development of the technique, researchers face maintaining the payload capacity and higher Peak Signal to Noise Ratio (PSNR) values while maintaining other parameters. This work uses color images as cover and digital bit modification methods to hide secure information. Only hiding is not enough to secure information. An additional layer of security is added by encrypting a secure message using an encryption method. The digital bit modification method is unconventionally spread the sequential bitstream over channels. This would make this approach unique and better as it keeps the PSNR level higher along with NCC and lowers MSE. All this is done by keeping the payload capacity as the maximum available. According to the proposed algorithm results, the average value of PSNR is 60.295dB, NCC is 1.00, and MSE is 0.1567.