Secure Text Transmission Using Image-Based Cryptographic Keys and Deep Neural Networks

Abstract

This paper presents a novel method to enhance the security of transmitted text by combining image key cryptography with deep neural networks. Traditional text encryption and decryption techniques often rely on mathematical algorithms that may be vulnerable to various types of attacks. To address this limitation, we introduce the concept of using an image as an encryption key. The intricate patterns and structures within images add an extra layer of complexity, significantly strengthening the encryption process. In addition, deep neural networks (DeepNets) are integrated to further reinforce the system’s security, ensuring greater resistance to potential threats. The proposed approach is evaluated through a series of experiments and benchmarked against existing encryption methods. Experimental results indicate that our technique achieves higher security and robustness, making it a promising solution for the secure transmission of sensitive textual data.