Evidence map›Paper›PMID 38726083›Full record

ArticleJournal of education and health promotion2024

Securing patient data in the healthcare industry: A blockchain-driven protocol with advanced encryption.

Sourav Kunal, Parth Gandhi, Digvijaysinh Rathod, Ruhul Amin, Sachin Sharma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of education and health promotion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Sourav KunalDepartment of School of Cyber Security and Digital Forensics, National Forensic Sciences University, Gandhinagar, Gujarat, India.
Parth GandhiDepartment of School of Cyber Security and Digital Forensics, National Forensic Sciences University, Gandhinagar, Gujarat, India.
Digvijaysinh RathodDepartment of School of Cyber Security and Digital Forensics, National Forensic Sciences University, Gandhinagar, Gujarat, India.
Ruhul AminDepartment of Computer Science and Engineering, NIT Jamshedpur, Jharkhand, India.
Sachin SharmaDepartment of CSE, Indrashil University, Mehsana, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring the security and privacy of patient data is a critical concern in the healthcare industry. The growing utilization of electronic data transmission and storage in medical records has amplified apprehensions about data security. However, due to varying stakeholder interests, not all data can be freely shared, necessitating the development of secure protocols. MATERIALS AND

methodsThis study presents a highly secure protocol that integrates blockchain technology, patient biometric information, and robust cryptographic algorithms (elliptic curve cryptography (ECC) and advanced encryption algorithm (AEC)) to facilitate data encryption and decryption. The protocol encompasses secure login, secure key sharing, and data sharing mechanisms among miners, offering comprehensive security measures. To validate the effectiveness of the proposed protocol, both informal and formal security analyses are conducted. The security protocol description language in Scyther is utilized to evaluate the protocol's resilience against attacks.

resultsThe culmination of this research is a secure protocol that leverages blockchain technology and ECC for the secure storage and sharing of medical records. The protocol covers all stages, including system setup, user registration, login mechanisms, key exchange between users and blockchain, communication between blockchains, and interaction with other miners, with a steadfast emphasis on security. Furthermore, the protocol's communication and computation costs are assessed, with a comparison to existing blockchain-based schemes. Informal proofs establish the protocol's security against common attacks faced by medical institutions. Formal simulation of the protocol using the Scyther tool provides definitive evidence of its resistance to attacks.

conclusionsAs a result, this protocol presents a viable real-time implementation solution for safeguarding patient data within the healthcare domain, representing a significant contribution to data security.

Indexed as

Advanced encryption algorithm (AES)blockchainelliptic curve cryptography (ECC)health careprivacyprotocolrobustnessScythersecurity

Identifiers

PMID38726083
PMCPMC11081437

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Registered trials

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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.