RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications
Article
Article Title | RAMHU: A new robust lightweight scheme for mutual users |
---|---|
ERA Journal ID | 39741 |
Article Category | Article |
Authors | Al-Zubaidie, Mishall (Author), Zhang, Zhongwei (Author) and Zhang, Ji (Author) |
Journal Title | Security and Communication Networks |
Journal Citation | 2019, pp. 1-26 |
Article Number | 3263902 |
Number of Pages | 26 |
Year | 2019 |
Publisher | Hindawi Publishing Corporation |
John Wiley & Sons | |
Place of Publication | United Kingdom |
ISSN | 1939-0114 |
1939-0122 | |
Digital Object Identifier (DOI) | https://doi.org/10.1155/2019/3263902 |
Web Address (URL) | https://www.hindawi.com/journals/scn/2019/3263902/ |
Abstract | Providing a mechanism to authenticate users in healthcare applications is an essential security requirement to prevent both external and internal attackers from penetrating patients’ identities and revealing their health data. Many schemes have been developed to provide authentication mechanisms to ensure that only legitimate users are authorised to connect, but these schemes still suffer from vulnerable security. Various attacks expose patients’ data for malicious tampering or destruction. Transferring health-related data and information between users and the health centre makes them exposed to penetration by adversaries as they may move through an insecure channel. In addition, previous mechanisms have suffered from the poor protection of users’ authentication information. To ensure the protection of patients’ information and data, we propose a scheme that authenticates users based on the information of both the device and the legitimate user. In this paper, we propose a Robust Authentication Model for Healthcare Users (RAMHU) that provides mutual authentication between the server and clients. This model utilizes an Elliptic Curve Integrated Encryption Scheme (ECIES) and PHOTON to achieve strong security and good overall performance. RAMHU relies on multiple-pseudonym, physical address, and one-time password mechanisms to authenticate legitimate users. Moreover, extensive informal and formal security analysis with the automated validation of Internet security protocols and applications (AVISPA) tool demonstrate that our model offers a high level of security in repelling a wide variety of possible attacks. |
Keywords | Authentication information; Authentication mechanisms; Authentication models; Data and information; Formal security analysis; Health care application; Mutual authentication; Security requirements |
ANZSRC Field of Research 2020 | 460609. Networking and communications |
429999. Other health sciences not elsewhere classified | |
460401. Cryptography | |
460908. Information systems organisation and management | |
Byline Affiliations | School of Agricultural, Computational and Environmental Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5302/ramhu-a-new-robust-lightweight-scheme-for-mutual-users-authentication-in-healthcare-applications
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