Enhancement to the patient's health care image encryption system, using several layers of DNA computing and AES (MLAESDNA)

Abstract

Keeping patient health data private has been a big issue for decades, and this issue will not go away anytime soon. As an integral part of many developing technologies, cryptographic Internet communications ICs (e.g. fog computing and cloud computing) are a main focus of IoT research. Just keep trying all the potential keys until you find the correct one. New and future technologies must have a model of DNA cryptography in order to assure the efficient flow of these technologies. Public-key cryptography is also required to make DNA sequence testing devices for the Internet of Things interoperable. This method employs DNA layers and AES in such a way that it may be easier to design a trustworthy hybrid encryption algorithm that uses DNA layers and AES. In order to guard against brute-force decryption attacks, DNA sequences are encrypted using three keys: (I) the main key, which is the key to the AES encryption algorithm; (II) the rule 1 key, which is the base DNA structure; and (III) the rule 2 key, which is the DNA helical structure binding probability. This key was created with increased security in mind. multi-layered AES encryption and DNA computing were applied to "Covid 19" images in this research (MLAESDNA). With cloud computing, the MLAESDNA team was able to show that IoT signals could be enhanced with encrypted data.