ArticleJournal of medical systems2017
A Standard Mutual Authentication Protocol for Cloud Computing Based Health Care System.
Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Findings from 2017 on Health Information ManagementYearbook of medical informatics · 2018Pooled it
- Security challenges and solutions using healthcare cloud computing.Journal of medicine and lifePooled it
- A cloud server centric multifactor lightweight authentication scheme for eHealth systems.Scientific reports · 2026Article
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- A secure healthcare data transmission based on synchronization of fractional order chaotic systems.PeerJ. Computer science · 2025Article
- Modeling security evaluation framework for IoHT-driven systems using integrated decision-making methodology.Scientific reports · 2024Article
- A Comprehensive Survey on Security and Privacy for Electronic Health Data.International journal of environmental research and public health · 2021Review
- Mutual Authentication Protocol for D2D Communications in a Cloud-Based E-Health System.Sensors (Basel, Switzerland) · 2020Article
- A Rainbow-Based Authentical Scheme for Securing Smart Connected Health Systems.Journal of medical systems · 2019Article
- IFHDS: Intelligent Framework for Securing Healthcare BigData.Journal of medical systems · 2019Article
- A Robust and Efficient ECC-based Mutual Authentication and Session Key Generation Scheme for Healthcare Applications.Journal of medical systems · 2018Article
- An Efficient Mutual Authentication Framework for Healthcare System in Cloud Computing.Journal of medical systems · 2018Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telecare Medical Information System (TMIS) supports a standard platform to the patient for getting necessary medical treatment from the doctor(s) via Internet communication. Security protection is important for medical records (data) of the patients because of very sensitive information. Besides, patient anonymity is another most important property, which must be protected. Most recently, Chiou et al. suggested an authentication protocol for TMIS by utilizing the concept of cloud environment. They claimed that their protocol is patient anonymous and well security protected. We reviewed their protocol and found that it is completely insecure against patient anonymity. Further, the same protocol is not protected against mobile device stolen attack. In order to improve security level and complexity, we design a light weight authentication protocol for the same environment. Our security analysis ensures resilience of all possible security attacks. The performance of our protocol is relatively standard in comparison with the related previous research.
Indexed as
Identifiers
28213882What 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.