A modified model demonstrates effective key generation in encryption, with robust protection against various attacks.
The paper proposed a modified amino acid-based encryption model that uses a bi-directional associative neural network for key generation, used for encryption and decryption. The proposed model survived against several attacks, such as plaintext, known plaintext, and cryptanalysis, and a comparative analysis was carried out based on encryption and decryption time between the original algorithm and the modified model, and the result shows that both models have the same encryption and decryption time.
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Abdulkadir et al. (2025) studied this question.
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