A novel medical image data protection scheme for smart healthcare system

Rehman, Mujeeb Ur; Shafique, Arslan; Khan, Muhammad Shahbaz; Driss, Maha; Boulila, Wadii; Ghadi, Yazeed Yasin; Changalasetty, Suresh Babu; Alhaisoni, Majed; Ahmad, Jawad

Abstract

The Internet of Multimedia Things (IoMT) refers to a network of interconnected multimedia devices that communicate with each other over the Internet. Recently, smart healthcare has emerged as a significant application of the IoMT, particularly in the context of knowledge‐based learning systems. Smart healthcare systems leverage knowledge‐based learning to become more context‐aware, adaptable, and auditable while maintaining the ability to learn from historical data. In smart healthcare systems, devices capture images, such as X‐rays, Magnetic Resonance Imaging. The security and integrity of these images are crucial for the databases used in knowledge‐based learning systems to foster structured decision‐making and enhance the learning abilities of AI. Moreover, in knowledge‐driven systems, the storage and transmission of HD medical images exert a burden on the limited bandwidth of the communication channel, leading to data transmission delays. To address the security and latency concerns, this paper presents a lightweight medical image encryption scheme utilising bit‐plane decomposition and chaos theory. The results of the experiment yield entropy, energy, and correlation values of 7.999, 0.0156, and 0.0001, respectively. This validates the effectiveness of the encryption system proposed in this paper, which offers high‐quality encryption, a large key space, key sensitivity, and resistance to statistical attacks.

Citation

Rehman, M. U., Shafique, A., Khan, M. S., Driss, M., Boulila, W., Ghadi, Y. Y., Changalasetty, S. B., Alhaisoni, M., & Ahmad, J. (online). A novel medical image data protection scheme for smart healthcare system. CAAI Transactions on Intelligence Technology, https://doi.org/10.1049/cit2.12292

• Journal Article Type: Article
• Acceptance Date: Oct 6, 2023
• Online Publication Date: Feb 13, 2024
• Deposit Date: Feb 19, 2024
• Publicly Available Date: Feb 19, 2024
• Journal: CAAI Transactions on Intelligence Technology
• Print ISSN: 2468-2322
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1049/cit2.12292
• Keywords: data analysis, security, medical image processing
• Public URL: http://researchrepository.napier.ac.uk/Output/3514462