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Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator

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@article{IJASEIT12687,
   author = {Septia Rani and Arrie Kurniawardhani and Yosa Angela Widya Rendani},
   title = {Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {6},
   year = {2021},
   pages = {2470--2475},
   keywords = {Digital image; modulo; Pixel Value Modification; Pseudo-Random Number Generator; steganography.},
   abstract = {In this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12687},
   doi = {10.18517/ijaseit.11.6.12687}
}

EndNote

%A Rani, Septia
%A Kurniawardhani, Arrie
%A Rendani, Yosa Angela Widya
%D 2021
%T Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator
%B 2021
%9 Digital image; modulo; Pixel Value Modification; Pseudo-Random Number Generator; steganography.
%! Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator
%K Digital image; modulo; Pixel Value Modification; Pseudo-Random Number Generator; steganography.
%X In this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12687
%R doi:10.18517/ijaseit.11.6.12687
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 6
%@ 2088-5334

IEEE

Septia Rani,Arrie Kurniawardhani and Yosa Angela Widya Rendani,"Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 6, pp. 2470-2475, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.6.12687.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Rani, Septia
AU  - Kurniawardhani, Arrie
AU  - Rendani, Yosa Angela Widya
PY  - 2021
TI  - Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 6
Y2  - 2021
SP  - 2470
EP  - 2475
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Digital image; modulo; Pixel Value Modification; Pseudo-Random Number Generator; steganography.
N2  - In this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12687
DO  - 10.18517/ijaseit.11.6.12687

RefWorks

RT Journal Article
ID 12687
A1 Rani, Septia
A1 Kurniawardhani, Arrie
A1 Rendani, Yosa Angela Widya
T1 Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 6
YR 2021
SP 2470
OP 2475
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Digital image; modulo; Pixel Value Modification; Pseudo-Random Number Generator; steganography.
AB In this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12687
DO  - 10.18517/ijaseit.11.6.12687