Ullah, Sana, Tu, Shanshan, Badshah, Akhtar and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544 (2024) A robust anonymous authentication scheme for securing IoT-enabled healthcare services. In: 8th Cyber Security in Networking Conference (CSNet 2024) - AI for Cybersecurity, 4th - 6th December 2024, Paris, France. (In Press)

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PDF (Accepted Conference Paper) 49199 WAQAS_A_Robust_Anonymous_Authentication_Scheme_For_Securing_IoT-Enabled_Healthcare_Services_(AAM)_2024.pdf - Accepted Version Download (1MB) | Preview

Abstract

Smart wearables and body implanted IoT devices continuously track and transmit health metrics wirelessly to a central controller, such as a personal server, enabling real-time monitoring, proactive treatment and timely assistance. However, the security of IoT-enabled healthcare systems remains a concern, particularly regarding the protection of sensitive patient data. To address the aforementioned issue and enhance security in IoT-enabled healthcare services, we propose a robust anonymous authentication scheme in this work. By leveraging lightweight cryptographic primitives including hash functions and XOR operations coupled with physical unclonable functions (PUFs) and fuzzy extractors, the proposed scheme introduces a novel authentication and key agreement mechanism for secure communication in IoT-enabled healthcare systems. The integration of PUF technology ensure the physical security of resource constrained implantable medical devices (IMDs) against various attacks including device physical capture and impersonation attacks that compromise the IoT-enabled healthcare operations. A thorough security analysis demonstrated the robustness and resilience of the proposed scheme against various active and passive security attacks, thus ensure the integrity and confidentiality of sensitive healthcare data. Finally, comparative analysis of the proposed scheme with other state-of-the-art highlighted that our scheme outperformed other approaches in terms of providing security and additional features, positioning it as a comprehensive solution for authentication in IoT-enabled healthcare services.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	IoT-enabled healthcare, anonymous authentication, key agreement, physical unclonable functions, security
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	Organisation
Last Modified:	08 Jan 2025 15:30
URI:	http://gala.gre.ac.uk/id/eprint/49199

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