ArticleScientific reports2026
Chaotic cosine and logistic map based robust image encryption with dual-stage confusion-diffusion architecture.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study presents an efficient image encryption algorithm designed for secure data transmission in big data environments. The proposed method employs a cosine extended logistic chaotic map with a wider chaotic range and enhanced randomness. The map's dynamics are verified through bifurcation diagrams, Lyapunov exponents, Shannon entropy and Kolmogorov entropy. The encryption scheme incorporates two confusion and two diffusion phases using chaotic pixel permutation, controlled flipping, modulo arithmetic, MSB/LSB separation, and cross quadrant bitwise operations to achieve lightweight yet robust protection suitable for resource constrained systems. Experimental results on standard USC-SIPI and medical image datasets show near ideal entropy (~ 7.997), NPCR and UACI values close to 99.6094% and 33.4635%, and chi square and correlation values within secure limits, indicating strong resistance against statistical and differential attacks. With an estimated key space of 2
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