Title: An IoMT-based steganography model for securing medical information

Authors: Joseph B. Awotunde; Idowu D. Oladipo; Muyideen AbdulRaheem; Ghaniyyat B. Balogun; Adekola R. Tomori

Addresses: Faculty of Communication and Information Sciences, Department of Computer Science, University of Ilorin, Ilorin, 240003, Kwara State, Nigeria ' Faculty of Communication and Information Sciences, Department of Computer Science, University of Ilorin, Ilorin, 240003, Kwara State, Nigeria ' Faculty of Communication and Information Sciences, Department of Computer Science, University of Ilorin, Ilorin, 240003, Kwara State, Nigeria ' Faculty of Communication and Information Sciences, Department of Computer Science, University of Ilorin, Ilorin, 240003, Kwara State, Nigeria ' Faculty of Communication and Information Sciences, Department of Computer Science, University of Ilorin, Ilorin, 240003, Kwara State, Nigeria

Abstract: Modern technologies have been integrated into medical systems to assist healthcare systems in the areas of real-time disease analysis, remote monitoring, and real-time drug prescriptions, among other things. These technologies have substantially aided in the storage of patients' personal information and symptoms, as well as the quality of healthcare personnel's services. However, the security and privacy of patients have attracted great attention in the healthcare system. Another serious concern in implementing security for patients' medical information is data privacy over the IoMT-based system. Therefore, a steganography model is proposed in this paper to secure IoMT-based medical data and information. Steganography is utilised to conceal private information, to provide security and privacy of medical information. The paper results show high resistance to data loss, and reveal remarkable protection in terms of privacy and security of IoMT-based system. The performance metrics show a better result concerning PSNR (66.45), RMES (0.98245), and MSE (0.8364) respectively.

Keywords: healthcare information system; internet of medical things; steganography; medical information; healthcare system; security and privacy; wearable sensors and devices.

DOI: 10.1504/IJHTM.2022.128195

International Journal of Healthcare Technology and Management, 2022 Vol.19 No.3/4, pp.218 - 236

Received: 02 Jun 2021
Accepted: 02 Nov 2021
Published online: 11 Jan 2023 *

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