TY - GEN
T1 - Least Significant Bit Steganography for Text and Image hiding
AU - Sakshi, Sakshi
AU - Verma, Sandeep
AU - Chaturvedi, Prateek
AU - Yadav, Suman Avdhesh
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Digital image attestation is powerful regard for the digital rebellion. To fulfill this need, different watermarking methods have been established. Though, it is hard to accomplish a watermarking system that is robust and secure. In this paper, one of the spatial domain approaches has been considered for image hiding and text hiding. The technique used in this work is the least-significant bit steganography which is easy to implement and gives a high mean square error and low peak signal to noise ratio. In this approach, one to eight bits of the first component of the pixels in the carrier image is replaced with the most significant bits of the secret data. To see the effect of the given approach in text hiding and image hiding, experimental results has been performed for different target bit-planes.
AB - Digital image attestation is powerful regard for the digital rebellion. To fulfill this need, different watermarking methods have been established. Though, it is hard to accomplish a watermarking system that is robust and secure. In this paper, one of the spatial domain approaches has been considered for image hiding and text hiding. The technique used in this work is the least-significant bit steganography which is easy to implement and gives a high mean square error and low peak signal to noise ratio. In this approach, one to eight bits of the first component of the pixels in the carrier image is replaced with the most significant bits of the secret data. To see the effect of the given approach in text hiding and image hiding, experimental results has been performed for different target bit-planes.
KW - Least Significant Bit (LSB)
KW - Mean Square Error (MSE)
KW - Peak Signal to Noise Ratio (PSNR)
KW - Steganography
UR - http://www.scopus.com/inward/record.url?scp=85137002663&partnerID=8YFLogxK
U2 - 10.1109/ICIEM54221.2022.9853052
DO - 10.1109/ICIEM54221.2022.9853052
M3 - Conference contribution
AN - SCOPUS:85137002663
T3 - Proceedings of 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022
SP - 415
EP - 421
BT - Proceedings of 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022
PB - Institute of Electrical and Electronics Engineers
T2 - 3rd International Conference on Intelligent Engineering and Management, ICIEM 2022
Y2 - 27 April 2022 through 29 April 2022
ER -