A system of symmetric key cryptography using deep learning
Department of Computer Science and Engineering, Rajeev Institute of Technology, Hassan, India.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 20(02), 081–089.
Article DOI: 10.30574/gjeta.2024.20.2.0139
Publication history:
Received on 16 June 2024; revised on 05 August 2024; accepted on 07 August 2024
Abstract:
Encryption is the process of making data unreadable, whereas decryption is the process of recovering the original data. Good cryptography encrypts data in a way that makes it impossible to conduct a brute force assault on the key or a cryptography method. Many ciphers have been proposed up to this point. But their weaknesses have also been made public. Novel cryptography techniques are therefore quite desirable. Within the suggested project, a symmetric A deep neural network-based cryptography algorithm is created. Our experiments demonstrate that the suggested approach outperforms conventional cryptographic methods and is very difficult to crack, especially when little text files are involved.
Keywords:
Symmetric Encryption; Autoencoder Neural Networks; Cryptography; Cryptography Systems.
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0