Hash Based DNA Computing Algorithm for Image Encryption

Deoxyribonucleic Acid (DNA) computing has demonstrated great potential in data encryption due to its capability of parallel computation, minimal storage requirement, and unbreakable cryptography. Focusing on high-dimensional image for with DNA computing, we propose a novel hash encoding-based algorithm, which consists encoding module content-aware encrypting module. Inspired by the significant properties function, build quantity mappings from pixels bases, properly integrating advantages function boost performance. Considering correlation relationship patches modeling, is proposed reorganize structure, resisting crack non-linear high dimensional complexity originating relationship. The experimental results suggest that method performs better than most comparative methods key space, histogram analysis, pixel correlation, information entropy, sensitivity measurements.