Treffer: ElGamal Cryptosystem for Image Encryption and Decryption.

The ElGamal cryptosystem is one of the most well-known public-key encryption algorithms due to its ability to generate different ciphertexts for the same plaintext on successive runs. However, the standard ElGamal approach often results in ciphertexts that occupy significantly more memory than the original plaintext, making it inefficient for data types such as images, where size preservation is important. To address this limitation, this paper proposes an enhanced ElGamal cryptosystem optimized for digital data, including text and image formats. The system introduces a modified key generation mechanism combined with pixel-level encryption transformations to reduce redundancy and increase security. The implementation, developed using Python and OpenCV, demonstrates that the enhanced ElGamal approach can securely and efficiently encrypt image data while maintaining usability for practical applications. [ABSTRACT FROM AUTHOR]

Copyright of International Scientific Journal of Engineering & Management is the property of International Scientific Journal of Engineering & Management and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)