Fusion: Practice and Applications
  FPA
  2692-4048
  2770-0070
  
   10.54216/FPA
   https://www.americaspg.com/journals/show/1228
  
 
 
  
   2018
  
  
   2018
  
 
 
  
   A New Data Fusion Model for Medical Image Encryption in IoT Environment
  
  
   Higher Colleges of Technology, United Arab Emirates
   
    Reem
    Reem
   
   Higher Colleges of Technology, United Arab Emirates
   
    Fuad
    Alhosban
   
   Higher Colleges of Technology, United Arab Emirates
   
    Milan
    Dordevic
   
  
  
   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
  
  
   2022
  
  
   16
   26
  
  
   10.54216/FPA.080102
   https://www.americaspg.com/articleinfo/3/show/1228