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Enhancing Transmitted Text Security with Image Key Cryptography and Deepnets


Affiliations
1 Department of Computer Science and Engineering, Shadan Women’s College of Engineering and Technology, India
2 Department of Information Technology, DMI College of Engineering, India
     

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This paper proposes a novel approach to improving the security of transmitted text using a combination of image key cryptography and deepnets. The traditional methods of text encryption and decryption rely heavily on mathematical algorithms, which can be susceptible to attacks. In this paper, we introduce the concept of image key cryptography, where an image is used as the encryption key. By utilizing the complex patterns and structures present in images, the security of the encryption process is significantly enhanced. Additionally, we employ deepnets, a type of deep neural network, to further strengthen the encryption process and provide an additional layer of security. We evaluate the proposed approach through experiments and compare its performance with existing encryption methods. The results demonstrate that our method offers improved security and robustness against attacks, making it a promising solution for transmitting sensitive text data.

Keywords

Transmitted Text Security, Image Key Cryptography, Deepnets, Encryption/Decryption.
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  • Enhancing Transmitted Text Security with Image Key Cryptography and Deepnets

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Authors

C. Berin Jones
Department of Computer Science and Engineering, Shadan Women’s College of Engineering and Technology, India
D. Jeba Kingsley
Department of Information Technology, DMI College of Engineering, India

Abstract


This paper proposes a novel approach to improving the security of transmitted text using a combination of image key cryptography and deepnets. The traditional methods of text encryption and decryption rely heavily on mathematical algorithms, which can be susceptible to attacks. In this paper, we introduce the concept of image key cryptography, where an image is used as the encryption key. By utilizing the complex patterns and structures present in images, the security of the encryption process is significantly enhanced. Additionally, we employ deepnets, a type of deep neural network, to further strengthen the encryption process and provide an additional layer of security. We evaluate the proposed approach through experiments and compare its performance with existing encryption methods. The results demonstrate that our method offers improved security and robustness against attacks, making it a promising solution for transmitting sensitive text data.

Keywords


Transmitted Text Security, Image Key Cryptography, Deepnets, Encryption/Decryption.

References