Evidence map›Paper›PMID 36814548›Full record

ArticleJournal of healthcare engineering2023

Provably Secure and Lightweight Patient Monitoring Protocol for Wireless Body Area Network in IoHT.

Qi Xie, Dongnan Liu, Zixuan Ding, Xiao Tan, Lidong Han

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Qi XieKey Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-8808-3124
Dongnan LiuKey Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-6910-7805
Zixuan DingKey Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-0103-3782
Xiao TanKey Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0002-7100-3853
Lidong HanKey Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0003-2094-5629
Hangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the important applications of Internet of Health Things (IoHT) technology in the field of healthcare, wireless body area network (WBAN) has been widely used in medical therapy, and it can not only monitor and record physiological information but also transmit the data collected by sensor devices to the server in time. However, due to the unreliability and vulnerability of wireless network communication, as well as the limited storage and computing resources of sensor nodes in WBAN, a lot of authentication protocols for WBAN have been devised. In 2021, Alzahrani et al. designed an anonymous medical monitoring protocol, which uses lightweight cryptographic primitives for WBAN. However, we find that their protocol is defenseless to off-line identity guessing attacks, known-key attacks, and stolen-verifier attacks and has no perfect forward secrecy. Therefore, a patient monitoring protocol for WBAN in IoHT is proposed. We use security proof under the random oracle model (ROM) and automatic verification tool ProVerif to demonstrate that our protocol is secure. According to comparisons with related protocols, our protocol can achieve both high computational efficiency and security.

Indexed as

Computer SecurityWireless TechnologyComputer Communication NetworksConfidentialityHumansMonitoring, Physiologic

Identifiers

PMID36814548
PMCPMC9940953
OpenAlexW4320482638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.