TY - GEN
T1 - Enhanced pixel value modification based on modulus function for RGB image steganography
AU - Laffont, Aurélien
AU - Maniriho, Pascal
AU - Ramsi, Anaïs
AU - Guerteau, Guillaume
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/19
Y1 - 2018/1/19
N2 - Digital image steganography is one the best security measures to be adopted while exchanging multimedia data via the public network. Data can be exchanged in the form of text, audio, video or image. Therefore, securing communication is ideal since data must be delivered to the intended recipients without any alterations. That is, data have to be received exactly as they were sent. Recently, several methods that deal with increasing the embedding capacity and the quality of the stego image have been already implemented. Additionally, with reference to the literature study, in most of the existing methods developed based on pixel value modification, two pixels are required for concealing one digit of the secret data which is relatively low. Thus, to increase the embedding capacity and security which are desirable for any image steganographic algorithm, another method which conceals data by modifying pixel values is suggested in this paper. Different from the previous method which only hides data based on modulus three function, the suggested method can handle any modulus function, i.e., the limitations encountered in the previous method are completely removed. This allows one digit of the secret data to be concealed in each pixel. Moreover, the effect of varying modulus function is also analyzed. The experiment shows that the suggested enhanced-PVM does achieve good performance. Besides, good embedding capacity and PSNR are achieved while using modulus 2, 3 and 4. On the other hand, for modulus 5, 6 and more, the embedding capacity changes slightly.
AB - Digital image steganography is one the best security measures to be adopted while exchanging multimedia data via the public network. Data can be exchanged in the form of text, audio, video or image. Therefore, securing communication is ideal since data must be delivered to the intended recipients without any alterations. That is, data have to be received exactly as they were sent. Recently, several methods that deal with increasing the embedding capacity and the quality of the stego image have been already implemented. Additionally, with reference to the literature study, in most of the existing methods developed based on pixel value modification, two pixels are required for concealing one digit of the secret data which is relatively low. Thus, to increase the embedding capacity and security which are desirable for any image steganographic algorithm, another method which conceals data by modifying pixel values is suggested in this paper. Different from the previous method which only hides data based on modulus three function, the suggested method can handle any modulus function, i.e., the limitations encountered in the previous method are completely removed. This allows one digit of the secret data to be concealed in each pixel. Moreover, the effect of varying modulus function is also analyzed. The experiment shows that the suggested enhanced-PVM does achieve good performance. Besides, good embedding capacity and PSNR are achieved while using modulus 2, 3 and 4. On the other hand, for modulus 5, 6 and more, the embedding capacity changes slightly.
KW - Protecting data
KW - information hiding
KW - information security
KW - modulus function
KW - pixel value modification
UR - http://www.scopus.com/inward/record.url?scp=85050561487&partnerID=8YFLogxK
U2 - 10.1109/ICTS.2017.8265647
DO - 10.1109/ICTS.2017.8265647
M3 - Conference contribution
AN - SCOPUS:85050561487
T3 - Proceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
SP - 61
EP - 66
BT - Proceedings of the 11th International Conference on Information and Communication Technology and System, ICTS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Information and Communication Technology and System, ICTS 2017
Y2 - 31 October 2017 through 31 October 2017
ER -