EnBF_Crypt: Enhanced Blowfish based Cryptography with Optimal S-Box Selection for Secure Data Sharing

A Lavanya, Rajakumar B, Anita Daniel, R Surendran · 2025

This research introduces novel enhanced blowfish cryptography (EnBF_Crypt) algorithm for secure data sharing. Here, in order to reduce the number of S-boxes for minimizing the computation burden, optimal S-box selection is introduced in this research. The proposed optimal S-box selection is devised by Chaotic Crested Porcupine (ChCrP) algorithm. The algorithm is designed by incorporating the Chaotic Chebyshev Mapping within the traditional Crested Porcupine algorithm for enhancing the convergence rate while solving the issue of local optima trapping. The proposed ChCrP algorithm considers Avalanche Effect and Throughput as its fitness function for enhancing the security of the model while choosing the optimal number of S-boxes. The analysis based on encryption tine, decryption time and total time by the proposed EnBF_Crypt model acquired the values of 212.65ms, 402.9ms and 161ms respectively.

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