aspg-3-2787-1791943536 20261014020536 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2024 16 1 Sultan Almotairi Department of Computer Science, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia Santosh Reddy Addula Department of Information Technology, University of the Cumberlands, Williamsburg, KY, USA Olayan Alharbi Department of Information Systems, College of Computer and Information Sciences, Majmaah University, Majmaah, 11952, Saudi Arabia Zaid Alzaid Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah, Medinah, 42351, Saudi Arabia Yasser M. Hausawi IT Programs Center, Faculty of IT Department, Institute of Public Administration, Riyadh, 11141, Saudi Arabia Jaber Almutairi Department of Computer Science, College of Computer Science and Engineering, Taibah University, Medina 42353, Saudi Arabia The Internet of Medical Things (IoMT) has paved the way for innovative approaches to collecting and managing medical data. With the large and sensitive medical data being processed hence, the need for a strong identity and privacy become necessary. The present paper suggests a comprehensive method of PriMedGuard which aims at protection of the personal medical information. The first stage will be data collection from devices and sensors, then data cleaning to transform the data into the required format. There is also a safety system in the system that registers and authenticates authorized entities as well as ETDO (Enhanced Tasmanian Devil Optimization algorithm) is used for generating asymmetric cryptographic keys. The data is encrypted using the Secure Bit-Count Transmutation (SBCT) Data Encryption Algorithm and then put in the locations provided by the InterPlanetary File System (IPFS), a decentralized and distributed storage system. A safe smart contract on the blockchain is created so that the data retrieval is secure and MedSecEnsemble Detection is proposed as an intrusion detection technique in the IoMT network. By using this method, data will stay available while at the same time integrity, confidentiality and protection against vulnerabilities are ensured. Hence, the Internet of Medical Things ecosystem will be secured from unauthorized access and possible security threats… 2024 152 170 2787 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.160111 https://americaspg.com/journal/3/article/2787 https://americaspg.com/storage/51723731945.pdf