aspg-3-1228-1791943547 20261014020547 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2022 8 1 Reem Atassi Higher Colleges of Technology, United Arab Emirates Fuad Alhosban Higher Colleges of Technology, United Arab Emirates Milan Dordevic Higher Colleges of Technology, United Arab Emirates An improvement of the Internet of Things (IoT) was forecast for changing the healthcare industry and is generating the increase of the Internet of Medical Things (IoMT). The IoT revolution was surpassed the present-day human service with promise social prospects, mechanical, and financial. During this condition, it can be essential for framing an effectual approach for guaranteeing the safety and reliability of t patient’s symptomatic information which are transmitted and received in IoT criteria. This study introduces a new data fusion model in IoT environment. The proposed model is called SSOECC-MIC model focuses on the design of effective encryption scheme with optimal key generation process for IoT environment. To achieve this, the SSOECC-MIC model designs an ECC model for the encryption and decryption of medical images effectively. To further improve the security performance of the ECC model, the optimal key generation process is carried out by the use of swallow swarm optimization (SSO) algorithm. For examining the enhanced performance of the SSOECC-MIC model, a wide ranging experimental analysis is carried out. The experimental outcomes reported the betterment of the SSOECC-MIC model over recent models. 2022 16 26 1228 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.080102 https://americaspg.com/journal/3/article/1228 https://americaspg.com/storage/2649.pdf