Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 3, 2017.
Abstract: This paper introduces a novel method based on auxiliary matrix to hide a text data in an RGB plane. To hide the data in RGB planes of image via scanning, encryption and decryption. To enhance the security, the scanning technique combines two different traversals – spiral and snake traversal. The encryption algorithm involves auxiliary matrix as a payload and consider the least significant bits of three planes. To embed the text message would in the form of ASCII values which are similar to the red plane values and least significant value of pixels in blue plane marks the position of pixels. The least significant bit of boundary values of green-plane signifies the message. These three planes are recombined to form the stego-image, to decrypt the message with the help of scanning in the red-plane and blue plane and green plane simultaneously. Performance evaluation is done using PSNR, MSE and entropy calculation and generated results are compared with some earlier proposed work to present its efficiency with respect to others.
Jyoti Bharti, R.K. Pateriya and Sanyam Shukla, “Block Wise Data Hiding with Auxilliary Matrix” International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080320
@article{Bharti2017,
title = {Block Wise Data Hiding with Auxilliary Matrix},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080320},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080320},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {3},
author = {Jyoti Bharti and R.K. Pateriya and Sanyam Shukla}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.