Abstract

The importance of image security in the field of medical imaging is challenging. Several research works have been conducted to secure medical healthcare images. Encryption, not risking loss of data, is the right solution for image confidentiality. Due to data size limitations, redundancy, and capacity, traditional encryption techniques cannot be applied directly to e-health data, especially when patient data are transferred over the open channels. Therefore, patients may lose the privacy of data contents since images are different from the text because of their two particular factors of loss of data and confidentiality. Researchers have identified such security threats and have proposed several image encryption techniques to mitigate the security problem. However, the study has found that the existing proposed techniques still face application-specific several security problems. Therefore, this paper presents an efficient, lightweight encryption algorithm to develop a secure image encryption technique for the healthcare industry. The proposed lightweight encryption technique employs two permutation techniques to secure medical images. The proposed technique is analyzed, evaluated, and then compared to conventionally encrypted ones in security and execution time. Numerous test images have been used to determine the performance of the proposed algorithm. Several experiments show that the proposed algorithm for image cryptosystems provides better efficiency than conventional techniques.

Highlights

  • The Internet of Things (IoT) defines the concept of connected devices and objects of all types over the internet, wireless, or wired

  • IoT created hyper-connectivity shows that individuals and organizations could communicate with each other effortlessly from their remote locations [1]

  • It is appealing to create an effective healthcare image encryption scheme, for real-time teleradiology or any other internet remote examinations, where big electronic medical pictures are transmitted more than public networks

Read more

Summary

INTRODUCTION

The Internet of Things (IoT) defines the concept of connected devices and objects of all types over the internet, wireless, or wired. The different types of IoMT include consumer health monitory innovation such as Nike Fuel band, Fit Bit, or Withings that monitor the health of an individual or particular workout plan and connect to various mobile systems using Bluetooth innovation [3] Another type is the internally-embed medical devices such as pacemakers or physically implanted procedures on a person but communicates wirelessly through Bluetooth or proprietary protocols. The existing encryption techniques have been utilized the data encryption standard, advanced encryption standard, and Rivest–Shamir–Adleman algorithms for resolving the challenges for the circumstances of low-level efficiency though considering the low of size data as well as high redundancy [14], [15], [16], [16] These algorithms are hard enough to handle and ensure the appropriate encryption for medical images in the IoMT framework [9], [17], [18], [19].

RELATED WORK
CORRELATION
EXPERIMENTAL EVALUATION OF PROPOSED TECHNIQUE
Findings
CONCLUSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call