Images created by smart cameras and sensors are greatly at risk when transmitted over a public network because of the dynamic and open nature of the medical imaging ecosystem. Encryption is an effective method for safeguarding medical digital images. This article discusses a framework for image security that employs DNA cryptography and DNA steganography. The key is Generated using logistics and Lorentz map and uses the Elephant Heard Optimization Algorithm for optimization for the generated key. This key is utilized to do Row and Column rotation using the Rubik's cube algorithm. We next select the DNA encoding-decoding rule and carry out the DNA XOR operation. Finally, we carry out DNA Steganography using the four-phase method. The proposed scheme's average NPCR (99.6566%), UACI (33.4588%), Entropy (7.98), and long key value of 10135are superior to those of the existing schemes and more resistant to various attacks, according to the result analysis.