Open Access

ARTICLE

Wind Driven Optimization-Based Medical Image Encryption for Blockchain-Enabled Internet of Things Environment

C. S. S. Anupama¹, Raed Alsini², N. Supriya³, E. Laxmi Lydia⁴, Seifedine Kadry⁵, Sang-Soo Yeo⁶, Yongsung Kim^7,*

1 Department of Electronics & Instrumentation Engineering, V. R. Siddhartha Engineering College, Vijayawada, 520007, India
2 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
3 Department of Computer Science and Engineering, Malla Reddy Engineering College(A), Hyderabad, 500100, India
4 Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, 530049, India
5 Department of Applied Data Science, Noroff University College, 4612, Kristiansand, Norway
6 Department of Computer Engineering, Mokwon University, Daejeon, 35349, Korea
7 Department of Technology Education, Chungnam National University 99, Daehak-ro, Yuseong-gu, Daejeon, 34134, Korea

* Corresponding Author: Yongsung Kim. Email:

Computers, Materials & Continua 2022, 73(2), 3219-3233. https://doi.org/10.32604/cmc.2022.030267

Received 22 March 2022; Accepted 04 May 2022; Issue published 16 June 2022

Abstract

Internet of Things (IoT) and blockchain receive significant interest owing to their applicability in different application areas such as healthcare, finance, transportation, etc. Medical image security and privacy become a critical part of the healthcare sector where digital images and related patient details are communicated over the public networks. This paper presents a new wind driven optimization algorithm based medical image encryption (WDOA-MIE) technique for blockchain enabled IoT environments. The WDOA-MIE model involves three major processes namely data collection, image encryption, optimal key generation, and data transmission. Initially, the medical images were captured from the patient using IoT devices. Then, the captured images are encrypted using signcryption technique. In addition, for improving the performance of the signcryption technique, the optimal key generation procedure was applied by WDOA algorithm. The goal of the WDOA-MIE algorithm is to derive a fitness function dependent upon peak signal to noise ratio (PSNR). Upon successful encryption of images, the IoT devices transmit to the closest server for storing it in the blockchain securely. The performance of the presented method was analyzed utilizing the benchmark medical image dataset. The security and the performance analysis determine that the presented technique offers better security with maximum PSNR of 60.7036 dB.

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Keywords

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