Wilis, Kaswidjanti and Hidayatulah, Himawan and Afra, Oryza and Mangaras, Yanu F and Rifki, Indra Perwira (2019) Arnold Transformed Position Power First Mapping (AT-PPFM) for Secret Digital Image. International Conference on Science in Information Technology (ICSITech), - (-). pp. 241-245.
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Abstract
Digital image data stored and exchanged in cloud
storage can be secured using cryptographic and steganographic
techniques. The information contained in a data is secured in
order to avoid taking data or information from unauthorized
parties. The encryption process is done by changing the original
image data from what can be understood to be
incomprehensible. Encryption uses Arnold Transformation
Algorithm which randomizes the pixel of image data by using 4-
bit Most Significant hidden images to then be inserted into the
encrypted 4-bit Least Significant Cover. Peak Signal to Noise
(PSNR) is used to compare image quality before and after
extraction. This comparison is based on the test results of the
mean error value or Mean Square Error (MSE) of the original
image data and the resulting image insertion data. PSNR
produced in this study is above the minimum standard value (40
dB), which is between 45.60 dB - 46.10 dB, and the resulting
distortion value is very small (MSE> 2). By using a 4-bit
insertion of the existing image data, the extraction results are
not much different from the hidden image before insertion and
the results can be identified. So that the use of Arnold
Transform and Position Power First Mapping (PPFM)
algorithms reduces distortion and differences as well as the
possibility of data leakage from the resulting image data.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Arnold Transform, PPFM, Cryptography, Steganography |
| Subjek: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | x. Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | ST,MM,MEng HIDAYATULAH HIMAWAN |
| Date Deposited: | 27 Jul 2020 10:05 |
| Last Modified: | 27 Jul 2020 10:09 |
| URI: | http://eprints.upnyk.ac.id/id/eprint/23095 |
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