Mulkiah, Mulkiah and Suprapto, Suprapto and Sari, Anny Kartika (2021) Compression-Encryption Model for Digital Images Based on GAN and Logistic Map. In: 2021 International Seminar on Intelligent Technology and Its Applications (ISITIA), 21-22 July 2021, Surabaya.
Full text not available from this repository. (Request a copy)Abstract
The problem of digital image transmission lies on the size of the image which tends to get bigger, and how to satisfy the confidentiality aspects when images are transmitted via unsecured channels. To solve this problem, a cryptosystem model is proposed, using a combination of compression and cryptography methods. This research proposes the development and performance measurement of compression-encryption models, Which consists of Generative Adversarial Network and logistic map encryption. The test results also showed that this scheme is better than other color image compression-encryption algorithms, With the SSIM values above 0.97 and compression ratio above 94. © 2021 IEEE.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Additional Information: | Cited by: 0 |
Uncontrolled Keywords: | Image compression; Intelligent systems; Adversarial networks; Color image compression; Digital image; Digital image transmission; Encryption algorithms; Logistic maps; Performance measurements; Cryptography |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Mathematics and Natural Sciences > Computer Science & Electronics Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 29 Oct 2024 07:05 |
Last Modified: | 29 Oct 2024 07:05 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8461 |