JOOUST Repository
The JOOUST Repository aims to store, preserve, disseminate, and provide access to scientific and intellectual outputs, ensuring the preservation of the University’s intellectual memory.
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Item type: Item , Access status: Open Access , An Efficient Authentication Protocol for Robust Security in Wireless Body Area Networks(IEEE, 2026-07) Auko, Joshua; Nyangaresi, Vincent Omollo; Abduljabbar, Zaid Ameen; Hussien, Zaid Alaa; Ali, Ali Hasan; AL-Asadi, Hamid Ali AbedThe ever increasing number of aging populace together with high number of chronic diseases has led to wide adoption of medical Internet of Things (IoT), such as Wireless Body Area Networks (WBANs). Through these networks, physiological data such as blood glucose, body temperature, blood pressure, and heart rate are collected and transmitted to remote medical professionals for analysis, diagnosis and treatment. However, the deployed open wireless channels and IEEE 802.15.6 standardized protocol have vulnerabilities that can easily compromise the patient data. Although many security solutions have been presented based on techniques such as certificates and bilinear-pairings, these algorithms have either high overheads or still have numerous security gaps. In this paper, a lightweight encryption protocol is presented. It is shown to incur the least computation costs and average communication overheads. In addition, it offers anonymity, untraceability, authentication, session key agreement, perfect key secrecy, revocability and conditional privacy. Moreover, it protects against node capture, session hijacking, denial of sleep, denial of service, key compromise, side-channeling, impersonation, eavesdropping, session key disclosure, privileged insider, tracking, offline guessing, forgery and non-repudiation.Item type: Item , Access status: Open Access , Platforms for Research Collaboration Transparency and Reproducibility in Research Using R, Git, and GitHub(BITSS, CEGA, 2026-01-30) Damian, LouisItem type: Item , Access status: Open Access , Research Methods Module Leveraging AI for Transparency & Reproducibility:(BITSS, CEGA, 2026-01-30) Damian, LouisItem type: Item , Access status: Open Access , Introduction to Open Sciences, Research Integrity, & Research Ethics(BITSS, CEGA, 2026-01-30) Kebenei, EnockItem type: Item , Access status: Open Access , Tools for Research Collaboration Transparency and Reproducibility in Research Using R, Git, and GitHub(BITSS, CEGA, 2026-01-30) Damian, Louis