Optimal Logistic Map with DNA Computing Model for Image Encryption

K.V, Shiny and N. R, Wilfred Blessing and R, Jino and Palarimath, Suresh and V, Mathumitha and G, Sutherlin Subitha (2024) Optimal Logistic Map with DNA Computing Model for Image Encryption. In: 2024 2nd International Conference on Computing and Data Analytics (ICCDA), Shinas, Oman.

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Abstract

The logistic map with optimization with a novel Deoxyribonucleic Acid (DNA) sequence operation-based novel image encryption scheme is generated. The best mask is obtained by enhancing the excellence of DNA which is the significant advantage of this approach. According to the image decryption and encryption process, correct errors and the similarity of DNA sequences are decreased by the DNA cryptogram becoming an input pace for DNA calculation. The maximum PSNR of encrypted images is obtained by the logistic map function to improve the performance of image security Ant Lion optimization (ALO). The image encryption and decryption process generate optima point DNA sequence rules. DNA coding: utilizing the complementary rule, each nucleotide is then changed into its base pair for a random time or times; the times are produced by Chebyshev maps. The experimental investigations provided better UACI, Number of Pixel Exchange Rate (NPCR), and Peak Signal Noise Ratio (PSNR). This strategy is significant because it increases entropy, which is the fundamental property of randomness, withstands multiple statistical and differential attacks, and produces positive experimental outcomes.

Item Type: Conference or Workshop Item (Paper)
Subjects: Civil Engineering > Computer Programming
Domains: Civil Engineering
Depositing User: Mr IR Admin
Date Deposited: 22 Aug 2025 09:33
Last Modified: 22 Aug 2025 09:33
URI: https://ir.vistas.ac.in/id/eprint/10475

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