# Cryptographic Encryption and Optimization for Internet of Things Based Medical Image Security  
[PERSON]  
1 Department of Data Science and Business System, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai 603203, Tamil Nadu, India 1  
[PERSON]  
2 Bachelor Program in Industrial Projects, National Yunlin University of Science and Technology,  
Doulina 640301, Taiwan; [EMAIL_ADDRESS] 23 Department Electronic Engineering, National Yunlin University of Science and Technology,  
Doulina 640301, Taiwan 3  
[PERSON]  
1 Department of Data Science and Business System, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai 603203, Tamil Nadu, India 1  
[PERSON]. 4 Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology,  
Chennai 600119, Tamil Nadu, India 4-(c  
technologies, such as sensors, embedded systems, machine learning, and real-time analysis. It has to do with other internet-based technology that is wireless or wired, such as the concept of a \"smart hospital\" [4]. Smart devices can collect data and communicate them in everyday life to perform the necessary tasks. Smart cities, connected health care, connected automobiles, electronics, and entertainment systems all make use of IoT applications. The Internet of Things' adoption in the medical industry is centered on a wide range of sensors, medical instruments, artificial intelligence (AI), diagnostic tools, and cutting-edge imaging equipment. In both established and developing sectors and civilizations, these innovations raise productivity and living standards. Many security professionals who are drawn to the similarities of chaotic systems and methods use them for a variety of cryptographic applications, such as hash, public key infrastructure, picture and video encryption, image privacy protection, and image encryption. Electrocardiography (ECG) signals, in addition to other biometric personal qualities, are utilized for identification and cryptography in a variety of application contexts, including the Internet of Things [5; 6]. It is crucial to protect medical photographs saved on digital media. These photographs may be numerous and large, and the majority of them contain private images [7]. The reason for doing this is that since digital images are often two-dimensional, we must be able to trace and disconnect links between pixels quickly [8]. We leverage the decimal development of an irrational number to build a higher-dimensional encryption key, which we then use to alter the pixel layout in the hidden image, as digital images are often two-dimensional [9]. Encryption is a very effective tool for storage and transport, but once the sensitive data are decoded, the data are no longer secure [10; 11]. It is crucial to protect medical photographs saved on digital media. If the photographs are in plain text, it will be impossible for the intruder to access them and the daily records. The focus of the majority of fundamental encryption methods is on text data or paired data. Image encryption algorithms are related to plaintext, and combine two diffusion operations and a transform related to plaintext to encrypt the image and use a hyperchaotic system to generate the key stream [12; 13]. In order to obtain an extremely grounded medical services research [14], framework [15; 16] undertaken earlier sought to improve the security of medical data transfer. The study's objective is to use the best private and public key-based security possible for IoT-based therapeutic images to find the perfect key. Obstruction bloom breeding optimization considers a multitude of factors, from which the study's researchers selected and examined the important unresolved issues of IoT security improvement. The authentication review provides information on the appropriate key-based security technique. This paper's primary contribution is the hostile orchestration search (HOS) method, which creates the public and private key pair needed to encrypt and decrypt a picture.