ArticleJournal of medical systems2014
Secure privacy-preserving biometric authentication scheme for telecare medicine information systems.
Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Privacy-Preserving and Efficient Truly Three-Factor Authentication Scheme for Telecare Medical Information Systems.Journal of medical systems · 2018Article
- An Improved and Secure Biometric Authentication Scheme for Telecare Medicine Information Systems Based on Elliptic Curve Cryptography.Journal of medical systems · 2015Article
- Efficient biometric authenticated key agreements based on extended chaotic maps for telecare medicine information systems.Journal of medical systems · 2015Article
- An enhanced biometric-based authentication scheme for telecare medicine information systems using elliptic curve cryptosystem.Journal of medical systems · 2015Article
- An improved biometrics-based authentication scheme for telecare medical information systems.Journal of medical systems · 2015Article
- Cryptanalysis and improvement of a user authentication scheme preserving uniqueness and anonymity for connected health care.Journal of medical systems · 2015Article
- Privacy and security in mobile health apps: a review and recommendations.Journal of medical systems · 2015Review
- What's Past is Prologue: A Scoping Review of Recent Public Health and Global Health Informatics Literature.Online journal of public health informatics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare delivery services via telecare medicine information systems (TMIS) can help patients to obtain their desired telemedicine services conveniently. However, information security and privacy protection are important issues and crucial challenges in healthcare information systems, where only authorized patients and doctors can employ telecare medicine facilities and access electronic medical records. Therefore, a secure authentication scheme is urgently required to achieve the goals of entity authentication, data confidentiality and privacy protection. This paper investigates a new biometric authentication with key agreement scheme, which focuses on patient privacy and medical data confidentiality in TMIS. The new scheme employs hash function, fuzzy extractor, nonce and authenticated Diffie-Hellman key agreement as primitives. It provides patient privacy protection, e.g., hiding identity from being theft and tracked by unauthorized participant, and preserving password and biometric template from being compromised by trustless servers. Moreover, key agreement supports secure transmission by symmetric encryption to protect patient's medical data from being leaked. Finally, the analysis shows that our proposal provides more security and privacy protection for TMIS.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.