Evidence map›Paper›PMID 36684481›Full record

ArticleJournal of ambient intelligence and humanized computing2023

Secure data authentication and access control protocol for industrial healthcare system.

Daya Sagar Gupta, Nabajyoti Mazumdar, Amitava Nag, Jyoti Prakash Singh

Abstract read
In one paragraph

Article in Journal of ambient intelligence and humanized computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Daya Sagar GuptaDepartment of Computer Science and Engineering, Rajiv Gandhi Institute of Petroleum Technology Jais, Amethi, UP 229304 India.ORCID 0000-0001-5401-7287
Nabajyoti MazumdarDepartment of Information Technology, Indian Institute of Information Technology Allahabad, Prayagraj, India.
Amitava NagDepartment of Computer Science and Engineering, Central Institute of Technology Kokrajhar, BTR, Kokrajhar, India.
Jyoti Prakash SinghDepartment of Computer Science and Engineering, National Institute of Technology Patna, Patna, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of recent COVID-19 epidemic, the Internet-of-Medical-Things (IoMT) has acquired a significant impetus to diagnose patients remotely, regulate medical equipment, and track quarantined patients via smart electronic devices installed at the patient's end. Nevertheless, the IoMT confronts various security and privacy issues, such as entity authentication, confidentiality, and integrity of health-related data, among others, rendering this technology vulnerable to different attacks. To address these concerns, a number of security procedures based on traditional cryptographic approaches, such as discrete logarithm and integer factorization problems, have been developed. All of these protocols, however, are vulnerable to quantum attacks. This paper, in this context, presents a data authentication and access control protocol for IoMT systems that can withstand quantum attacks. A comprehensive formal security assessment demonstrates that the proposed algorithm can endure both current and future threats. In terms of data computing, transmission, and key storage overheads, it also surpasses other related techniques.

Indexed as

AuthenticationE-healthIoMTLattice-based cryptographySecurity and privacy

Identifiers

PMID36684481
PMCPMC9838518

What OpenQuestion holds

Textmetadata
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.