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Corresponding Author

Omar Fitian Rashid

Authors ORCID

Omar Fitian Rashid: https://orcid.org/0000-0002-8186-0795

Mohammed Ahmed Subhi: https://orcid.org/0000-0002-5387-6247

Humam Al-Shahwani: https://orcid.org/0000-0003-1248-1991

Mohammed Khaleel Hussein: https://orcid.org/0000-0003-2054-5959

Document Type

Article

Keywords

Cryptography, Amino acid, Encryption, Artificial intelligence, Bio-inspired cryptography, Interdisciplinary security

Abstract

Encryption plays a vital role in securing sensitive digital data, and traditional cryptographic systems are usually not immune to high-level attackers. The current approaches often base on the use of traditional mathematical models that become more vulnerable to contemporary cyberattacks. The purpose of the current paper is to suggest a new cryptography method that would combine the properties of amino-acid based encoding with artificial intelligence to improve data security. The technique builds amino acid and binary encoding tables, and performs structured mappings along with using a secure key that is produced by permuting a cryptographically secure pseudorandom number generator. Randomized transformations and obfuscation steps are added to add more complexity. Experimental analysis has revealed that there were efficient encryption/decryption time with different file sizes and ciphertext distribution with randomness and key-sensitivity tests. The suggested approach offers an analogy of a bioinspiration-based and computationally resistant framework that can lead to future-generation cryptographic, which indicates the possible advantages of bioinformatics and AI in collaboration with cybersecurity.

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