Evidence map›Paper›PMID 30280263›Full record

ArticleJournal of medical systems2018

Privacy-Preserving and Efficient Truly Three-Factor Authentication Scheme for Telecare Medical Information Systems.

Dongqing Xu, Jianhua Chen, Shu Zhang, Qin Liu

Abstract read
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In one paragraph

Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dongqing XuSchool of Mathematics and Statistics, Wuhan University, Wuhan, China.
Jianhua ChenSchool of Mathematics and Statistics, Wuhan University, Wuhan, China.
Shu ZhangSchool of Mathematics and Statistics, Wuhan University, Wuhan, China.
Qin LiuKey Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, 430072, China. qinliu@whu.edu.cn.ORCID http://orcid.org/0000-0002-8979-5094

Funding

National Natural Science Foundation of China 61501333National Natural Science Foundation of China 61572370National Natural Science Foundation of China 61572379
6 · The paper itself

Abstract

Significant development of information technologies has made Telecare Medical Information Systems (TMISs) increasingly popular. In a TMIS, patients upload their medical data through smart devices to obtain a doctor's diagnosis. However, these smart devices have limited computing and storage capacities, so it is difficult to store substantial patient information and to support time-consuming operations. Moreover, although many three-factor authentication protocols have been proposed for TMISs, the problems of privacy leaks and other security flaws are serious. In addition, authentication factors are verified at the user side in most protocols, giving users a high level of trust and resulting in a potential lack of security. In this paper, we propose a novel efficient truly three-factor authentication protocol for TMISs. In our proposed protocol, three factors (i.e., password, smart card and biometrics) are verified at the server side, which reduces the storage and computational burden of the user side. Additionally, our proposed protocol uses only lightweight operators and is thus efficient. A formal proof analysis demonstrates that our proposed protocol is provably secure in the random oracle model. The performance evaluation shows that the proposed protocol is very efficient and suitable for TMISs.

Indexed as

Computer SecurityConfidentialityHealth Smart CardsTelemedicineHumansInformation SystemsPrivacyAuthentication schemeBiometrics protectionRandom oracle modelTelecare medical information systemThree-factor

Identifiers

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Registered trials

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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.