Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

AI-Enhanced ABE Public Key Cryptography: A Hybrid Approach Using Vigenère and Polybius Cipher

Authors
Devbrat Sahu1, *, Nithin V. Anil2, Yash Gupta2, Rahul Sahu2
1Assistant professor, Department of CSE, SSIPMT, Raipur, Chhattisgarh, India
2BTech CSE, SSIPMT, Raipur, Chhattisgarh, India
*Corresponding author. Email: devbratsahu89@gmail.com
Corresponding Author
Devbrat Sahu
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_51How to use a DOI?
Keywords
AI; Cryptography; Polybius Ciphers; Vigenere Ciphers; Encryption; AI-driven security; Cipher Text; ANN
Abstract

This study examines the vital role of cryptography in maintaining data security, particularly with the integration of Artificial Intelligence (AI) and Artificial Neural Networks (ANN), in light of the increasing reliance on the Internet for communication and data sharing. It emphasizes key elements of data security, including confidentiality, authentication, and integrity, while identifying the limitations of traditional ciphers, which are becoming progressively vulnerable to various cyber threats. To tackle these issues, the research proposes a new hybrid encryption algorithm that combines the Polybius Cipher and the Vigenère Cipher, leveraging AI and ANN to enhance complexity and resistance to cryptanalysis. The proposed method involves a two-step encryption process, where the output from the Vigenère Cipher acts as the key for the Polybius Cipher, producing a final ciphertext that is much more resistant to common attacks. ANN plays a critical role in dynamically generating and optimizing cipher parameters, designing custom Polybius grids, and analyzing character frequency to derive keys or decryption methods, further enhancing the system’s resilience against vulnerabilities. The implementation of this methodology, achieved through a Python program, demonstrates its ability to address the weaknesses of traditional ciphers. The findings reveal that this hybrid encryption system, strengthened by AI and ANN, not only resolves the individual limitations of the ciphers but also delivers a reliable solution for secure communication in sensitive fields such as military and law enforcement. This study emphasizes the need for ongoing advancements in cryptographic methods, particularly through the integration of AI and ANN, to address the growing demands for robust data protection in an increasingly connected world.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_51How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Devbrat Sahu
AU  - Nithin V. Anil
AU  - Yash Gupta
AU  - Rahul Sahu
PY  - 2025
DA  - 2025/06/22
TI  - AI-Enhanced ABE Public Key Cryptography: A Hybrid Approach Using Vigenère and Polybius Cipher
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 638
EP  - 645
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_51
DO  - 10.2991/978-94-6463-738-0_51
ID  - Sahu2025
ER  -