CloudSec: A Lightweight and Agile Approach to Secure Medical Image Transmission in the Cloud Computing Environment

Published in Computational Sciences

Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Explore the Research

SpringerLink
SpringerLink SpringerLink

CloudSec: A Lightweight and Agile Approach to Secure Medical Image Transmission in the Cloud Computing Environment - SN Computer Science

In this paper, we have proposed a novel method CloudSec. It is a lightweight and agile image encryption method that combines a hashing function, multi-wing chaotic mapping system, and genetics algorithm. The proposed method offers significant benefits in terms of efficiency in data authentication. Additionally, our proposed method does complementary and internal scrambling in order to increase security of the image. Secret key with features is used as a seeding value to generate a key DNA image from a hyper-chaotic system to eliminate the correlation between adjacent pixels by chaotic sequence. The complex dynamic behavior of the chaotic map generates random sequences for image diffusion. The propagation of information between a permuted DNA image and a key DNA image can be achieved through the use of DNA operations. Simulation results show that the proposed method used to authenticate and secure medical images in health care information systems. Our results demonstrated that it is very effective and reliable to fully recover medical image in case of any attack. The proposed approach executes faster, generates a large key space, and provides better encryption than available state-of-the-art techniques. It also resists various attacks, such as differential and statistical attack. The proposed crypto system is suitable for real-time applications in cloud computing and can be integrated into an IoHT framework for secure medical image transmission.

In this paper, we have proposed a novel method CloudSec. It is a lightweight and agile image encryption method that combines a hashing function, multi-wing chaotic mapping system, and genetics algorithm. The proposed method offers significant benefits in terms of efficiency in data authentication. Additionally, our proposed method does complementary and internal scrambling in order to increase security of the image. Secret key with features is used as a seeding value to generate a key DNA image from a hyper-chaotic system to eliminate the correlation between adjacent pixels by chaotic sequence. The complex dynamic behavior of the chaotic map generates random sequences for image diffusion. The propagation of information between a permuted DNA image and a key DNA image can be achieved through the use of DNA operations. Simulation results show that the proposed method used to authenticate and secure medical images in health care information systems. Our results demonstrated that it is very effective and reliable to fully recover medical image in case of any attack. The proposed approach executes faster, generates a large key space, and provides better encryption than available state-of-the-art techniques. It also resists various attacks, such as differential and statistical attack. The proposed crypto system is suitable for real-time applications in cloud computing and can be integrated into an IoHT framework for secure medical image transmission.

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in