User authentication into electronic health record based on reliable lightweight algorithms
Edited book (chapter)
Chapter Title | User authentication into electronic health record based on reliable lightweight algorithms |
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Book Chapter Category | Edited book (chapter) |
ERA Publisher ID | 2177 |
Book Title | Handbook of research on cyber crime and information privacy |
Authors | Al-Zubaidie, Mishall (Author), Zhang, Zhongwei (Author) and Zhang, Ji (Author) |
Editors | Cruz-Cunha, Maria Manuela and Mateus-Coelho, Nuno Ricardo |
Volume | 2 |
Page Range | 700-738 |
Chapter Number | 32 |
Number of Pages | 39 |
Year | 2021 |
Publisher | IGI Global |
Place of Publication | United States |
ISBN | 9781799857280 |
9781799857297 | |
Digital Object Identifier (DOI) | https://doi.org/10.4018/978-1-7998-5728-0 |
Web Address (URL) | https://www.igi-global.com/chapter/user-authentication-into-electronic-health-record-based-on-reliable-lightweight-algorithms/261752 |
Abstract | Supporting a mechanism to authenticate members in electronic health record (EHR) is a fundamental procedure to prevent different threats from penetrating patients' identities/data. Existing authentication schemes still suffer from security drawbacks. Exchanging medical-related information/data between clients and the servers leaves them compromised to breakthrough by intruders as they can transmit over an unreliable environment. To guarantee the protection of patient records, this chapter proposes a new scheme that provides authentication of patients/providers in EHR depending on the legitimate member identities and the device information. The scheme utilizes an elliptic curve cryptography and lightweight hash function to accomplish robust security with satisfying performance. Moreover, it depends on a set of techniques such as multi-pseudonyms to authenticate legitimate members. Additionally, concentrated theoretical and experimental analysis proves that the proposed provides elevated performance and security compared to existing research. |
ANZSRC Field of Research 2020 | 460407. System and network security |
460401. Cryptography | |
460904. Information security management | |
460402. Data and information privacy | |
460406. Software and application security | |
Public Notes | Release date: August 2020. Copyright: c2021. |
Byline Affiliations | School of Sciences |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5zq0/user-authentication-into-electronic-health-record-based-on-reliable-lightweight-algorithms
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