Lightweight encryption technique to enhance medical image security on internet of medical things applications

Hasan, Mohammad Kamrul and Islam, Shayla and Sulaiman, Rossilawati and Khan, Sheroz and Hassan Abdalla Hashim, Aisha and Habib, Shabana and Islam, Mohammad and Alyahya, Saleh and Ahmed, Musse Mohamed and Kamil, Samar and Hassan, Md Arif (2021) Lightweight encryption technique to enhance medical image security on internet of medical things applications. IEEE Access, 9. pp. 47731-47742. ISSN 2169-3536

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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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Internet of Medical Things, medical image encryption, lightweight encryption.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	28 Nov 2023 08:39
Last Modified:	28 Nov 2023 08:54
URI:	http://irep.iium.edu.my/id/eprint/108363

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