Evidence map›Paper›PMID 35808211›Full record

ArticleSensors (Basel, Switzerland)2022

Self-Sovereignty Identity Management Model for Smart Healthcare System.

Pinky Bai, Sushil Kumar, Geetika Aggarwal, Mufti Mahmud, Omprakash Kaiwartya, Jaime Lloret

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

6 authors.

Pinky BaiSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India.ORCID 0000-0002-7712-0831
Sushil KumarSchool of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi 110067, India.ORCID 0000-0001-9113-2890
Geetika AggarwalDepartment of Engineering, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0002-8338-2504
Mufti MahmudDepartment of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0002-2037-8348
Omprakash KaiwartyaDepartment of Computer Science, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0001-9669-8244
Jaime LloretDepartment of Communications, Universitat Politècnica de València, 46022 Valencia, Spain.ORCID 0000-0002-0862-0533

Funding

Nottingham Trent University 00
6 · The paper itself

Abstract

An identity management system is essential in any organisation to provide quality services to each authenticated user. The smart healthcare system should use reliable identity management to ensure timely service to authorised users. Traditional healthcare uses a paper-based identity system which is converted into centralised identity management in a smart healthcare system. Centralised identity management has security issues such as denial of service attacks, single-point failure, information breaches of patients, and many privacy issues. Decentralisedidentity management can be a robust solution to these security and privacy issues. We proposed a Self-Sovereign identity management system for the smart healthcare system (SSI-SHS), which manages the identity of each stakeholder, including medical devices or sensors, in a decentralisedmanner in the Internet of Medical Things (IoMT) Environment. The proposed system gives the user complete control of their data at each point. Further, we analysed the proposed identity management system against Allen and Cameron's identity management guidelines. We also present the performance analysis of SSI as compared to the state-of-the-art techniques.

Indexed as

Internet of ThingsSelf-ManagementComputer SecurityDelivery of Health CareHumansPrivacyblockchaininternet of thingsIoMTprivacysecurityself-sovereign identity

Identifiers

PMID35808211
PMCPMC9269346

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.