Abstract
The recent advances in cryptanalysis techniques and the leakage of information about the cryptosystem used are major threats to information systems. An adversary may succeed in decrypting ciphertexts, while users of a particular cryptosystem unknowingly continue to use the compromised cryptosystem. In this paper, we present a novel cryptosystem based on Latin Square and AI/ML for Blockchain and Covert Communications. This cryptosystem is capable of operating in quadruple modes keyless, symmetric, asymmetric, and hybrid encryption to Cipher In Cipher, and hence we call it CipherInCipher. Unlike all contemporary techniques including obscurity, CipherInCipher is a public-based approach that does not depend on the secrecy of any of its related components. It attains a high level of security that protects private information not only by having strong ciphertext but also by preventing an adversary from obtaining the actual ciphertext. The presented cryptanalysis validation demonstrates the robust capabilities of achieving the cryptographic goal.
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Acknowledgment
We would like to express our thanks to the well-known cryptographer Dr. Taher Elgamal for the great generosity of his support, effort, and time in discussing and advising in building the CipherInCipher system. This work of this paper is fully supported and funded by The Scired: Scientific Research and Development under TR/Project 0115202201.
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Desoky, A., Ammar, H., Fahmy, G., El-Sappagh, S., Hendawi, A., Basha, S.H. (2023). Latin Square and Artificial Intelligence Cryptography for Blockchain and Centralized Systems. In: Hassanien, A., Rizk, R.Y., Pamucar, D., Darwish, A., Chang, KC. (eds) Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023. AISI 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-031-43247-7_39
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