Evidence map›Paper›PMID 29959607›Full record

ArticleJournal of medical systems2018

An Improved Two-Layer Authentication Scheme for Wireless Body Area Networks.

Xiaoguang Liu, Chunhua Jin, Fagen Li

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

3 authors.

Xiaoguang LiuCenter for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China. 21700128@swun.edu.cn.ORCID http://orcid.org/0000-0003-4909-8726
Chunhua JinThe Laboratory for Internet of Things and Mobile Internet Technology of Jiangsu Province, Huaiyin Institute of Technology, Huaian, Jiangsu, 223003, People's Republic of China.
Fagen LiCenter for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People's Republic of China.

Funding

The Key Fund Project of Sichuan Provincial Department of Education 17ZA0414The Laboratory for Internet of Things and Mobile Internet Technology of Jiangsu Province JSWLW-2017-006
6 · The paper itself

Abstract

Wireless body area networks (WBANs) comprises a number of sensor nodes and the portable mobile device such as smartphone. It is used to monitor the physical condition and provide a reliable healthcare system. Utilizing the wireless communication network, sensor nodes collect the physiological data of one patient to the portable mobile device and the latter analyzes and transmits them to the application providers. Therefore, the personal data confidentiality and user privacy are cores of WBANs. Recently, Shen et al. presented a multi-layer authentication protocol for WBANs, which is lightweight and much easier to implement. However, we observe that their authentication between sensor nodes and the portable mobile device could ensure the forward security property only when the sensor nodes are changed (add or delete). When the sensor nodes are constant, the security property is not satisfied. Meanwhile, the authentication between the portable mobile device and application provider is prone to mutual impersonation attack, so the critical goal of mutual authentication can not be achieved. In this paper, an improved two-layer authentication scheme is proposed to remove the flaws. The analysis shows that our method is more secure and could withstand various attacks.

Indexed as

Computer SecurityWearable Electronic DevicesWireless TechnologyComputer Communication NetworksConfidentialityHumansPrivacyTelemetryAuthenticationCertificateless methodTwo-layerWireless body area networks

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.