DNA-based cryptology application

Information security has become an important area with the developing technology. It is tried to be protected by storing the data or changing its content in a way that someone else cannot understand. Various encryption techniques are used today to perform all these encryption processes. We can classify these encryption techniques as symmetric and asymmetric. In this study, asymmetric and symmetric algorithms are generally examined. DNA modeling is a new technique in the field of coding, and this technique is based on simulating the human biological DNA structure and simulating DNA bases into computer language. Among the symmetric and asymmetric algorithms examined in this study, Blowfish and DES algorithms have been updated by remodeling with DNA, also time, memory and processor complexity were evaluated after the update. While performing the performance analysis, results were obtained on computers with different hardware and software features, as computer hardware may affect performance. While getting these results, Python language was used. The results were obtained in "PyCharm 2020.2.4" platform. Keywords: Cryptology, DNA encryption, Blowfish, DES