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Article . 2025 . Peer-reviewed
License: CC BY
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Article . 2025
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Article . 2025
Data sources: DBLP
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Anonymous wireless body area networks authentication protocol based on biometrics and asymmetric key cryptography

Authors: Keyan Abdul-Aziz Mutlaq; Mushtaq A. Hasson; Zaid Ameen Abduljabbar; Vincent Omollo Nyangaresi; Mustafa A. Al Sibahee; Junchao Ma; Samir M. Umran; +3 Authors

Anonymous wireless body area networks authentication protocol based on biometrics and asymmetric key cryptography

Abstract

Wireless Body Area Networks (WBANs) have been extensively deployed to offer remote patient monitoring that facilitate timely diagnosis and medication. This has greatly helped reduce costs and stress on the limited healthcare resources. However, the exchange of sensory patient data across wireless public communication media exposes the communication process to a myriad of security threats. To curb these security challenges, past research work has deployed techniques such as identity-based and public key cryptosystems to develop schemes for this environment. Nevertheless, the complex mathematical computations in majority of these schemes render them inefficient for sensors. In this current work, we utilize an amalgamation of asymmetric cryptography and user biometrics to develop a robust authentication protocol for WBANs. The famous Burrows–Abadi–Needham (BAN) logic is then deployed to formally analyze the security posture of the developed scheme, with results indicating that it offers secrecy and reliability of the negotiated session keys. In addition, the informal security analysis shows that it is robust against typical WBAN attacks such as impersonation and privileged insiders. From the performance perspective, our protocol incurs the least communication and computation costs.

Keywords

TK7885-7895, Authentication, Computer engineering. Computer hardware, Privacy, Electronic computers. Computer science, Security, QA75.5-76.95, Attacks, WBAN, Anonymity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold