Evidence map›Paper›PMID 35368929›Full record

ReviewJournal of healthcare engineering2022

Biometric Authentication for Intelligent and Privacy-Preserving Healthcare Systems.

Dhananjay Nigam, Shilp Nirajbhai Patel, P M Durai Raj Vincent, Kathiravan Srinivasan, Sinouvassane Arunmozhi

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Dhananjay NigamSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.ORCID 0000-0003-0756-1794
Shilp Nirajbhai PatelSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.ORCID 0000-0002-5814-4264
P M Durai Raj VincentSchool of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India.ORCID 0000-0002-7598-1363
Kathiravan SrinivasanSchool of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.ORCID 0000-0002-9352-0237
Sinouvassane ArunmozhiDepartment of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secure identification is a critical system requirement for patients seeking health-related services. In the event of critical, aged, or disabled patients who require frequent health treatments, quick and easy identification is vital. Researchers describe the notion of the unprotected environment in this study, in which patients can receive health services from the hospital's smart and intelligent surroundings without the use of explicit equipment. Patients would interact directly with the environment and be identified through it. We suggest a biometric-based authentication technique for the unprotected hospital environment that also safeguards the patient's identity privacy. Furthermore, we demonstrate that this authentication technique is resistant to many well-known assaults, including insider attacks, replay attacks, and identity privacy. Doctors and other staff members showed enthusiastic responses after installing 2-factor authentications, as it makes their workflow efficient and makes things easier for patients. It also lets them focus on other factors rather than worrying about data security; hence, we need biometric authentication in intelligent and privacy-preserving healthcare systems. The paper deals with two-factor biometric authentication, and despite the added security, two-factor authentication adoption is said to be poor. It is due to a lack of awareness and difficulty to use and configure two-factor authentication (2FA) into a particular application by some individuals who struggle with the concept of authentication and its technology. Also, many 2FA methods in widespread use today have not been subjected to adequate usability testing. Research focuses on the point that there is still a large section of people unaware of the use of biometric systems to protect their online data. Researchers collected quantitative and qualitative data from 96 individuals during a two-week between-subjects usability survey of some common and rarely used 2FA approaches. The survey allowed the researcher to investigate which authentication methods are given higher priority and why, along with the relationship between different usage patterns and perceived usability, and identify user misconceptions and insecure habits to determine ease of use. It was observed that the biometric-based method was given the utmost preferability.

Indexed as

Biometric IdentificationPrivacyAgedBiometryConfidentialityDelivery of Health CareHumans

Identifiers

PMID35368929
PMCPMC8970854

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.