Evidence map›Paper›PMID 37299983›Full record

ArticleSensors (Basel, Switzerland)2023

RBEF: Ransomware Efficient Public Blockchain Framework for Digital Healthcare Application.

Abdullah Lakhan, Orawit Thinnukool, Tor Morten Groenli, Pattaraporn Khuwuthyakorn

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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. Blockchain in Critical Care.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025
    Review
  2. Review
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.

Abdullah LakhanSchool of Economics, Innovation and Technology, and Kristiania University College, 0107 Oslo, Norway.ORCID 0000-0002-1833-1364
Orawit ThinnukoolEmbedded System and Computational Science, College of Arts, Media and Technology, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-1664-0059
Tor Morten GroenliSchool of Economics, Innovation and Technology, and Kristiania University College, 0107 Oslo, Norway.ORCID 0000-0002-2026-4551
Pattaraporn KhuwuthyakornRSISE, Australian National University, Canberra, ACT 0200, Australia.ORCID 0009-0003-4993-949X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

These days, the use of digital healthcare has been growing in practice. Getting remote healthcare services without going to the hospital for essential checkups and reports is easy. It is a cost-saving and time-saving process. However, digital healthcare systems are suffering from security and cyberattacks in practice. Blockchain technology is a promising technology that can process valid and secure remote healthcare data among different clinics. However, ransomware attacks are still complex holes in blockchain technology and prevent many healthcare data transactions during the process on the network. The study presents the new ransomware blockchain efficient framework (RBEF) for digital networks, which can identify transaction ransomware attacks. The objective is to minimize transaction delays and processing costs during ransomware attack detection and processing. The RBEF is designed based on Kotlin, Android, Java, and socket programming on the remote process call. RBEF integrated the cuckoo sandbox static and dynamic analysis application programming interface (API) to handle compile-time and runtime ransomware attacks in digital healthcare networks. Therefore, code-, data-, and service-level ransomware attacks are to be detected in blockchain technology (RBEF). The simulation results show that the RBEF minimizes transaction delays between 4 and 10 min and processing costs by 10% for healthcare data compared to existing public and ransomware efficient blockchain technologies healthcare systems.

Indexed as

BlockchainComputer SimulationDelivery of Health CareHospitalsSoftwareblockchaindelaysransomwareRBEFsandboxstatic and dynamic analysis

Identifiers

PMID37299983
PMCPMC10256017

What OpenQuestion holds

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LicenceCC BY
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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.