Privacy and security framework for medical data in a cloud infrastructure utilizing lightweight blockchain technology

Cloud-based information has consistently attracted cyber attackers. Medical Data (MD) on the cloud has emerged as a new focal point of interest. Assaults on MD may have devastating repercussions for healthcare companies. The decentralized management of cloud data helps mitigate the impact of assaults. A public ledger supported by a decentralized network of peers has been shown to provide reliable, auditable computing using Blockchain Technology (BT). Implementing authorization mechanisms and cryptographic primitives is inadequate for mitigating contemporary cyber risks and resolving privacy and security issues related to cloud-based environments. This study presents a Privacy and Security Framework in Cloud Infrastructure employing Lightweight Blockchain Technology (PSF-CI-LBT) for MD. A patient-focused MD management program using BT for storage has been introduced to enhance privacy. Cryptographic algorithms are employed to encrypt patients' MD and to guarantee concealment. The encryption, decryption time, and economic feasibility (cost) of the proposed technique's smart contract (SC) framework are assessed, along with the methodologies used for analyzing MD to encrypt and mask a patient's MD.

Authors

Institutions

Publication Details

Journal
Health Leadership and Quality of Life
Published
2024-12-30
DOI
https://doi.org/10.56294/hl2024.193
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Privacy and security framework for medical data in a cloud infrastructure utilizing lightweight blockchain technology

Nadira Mirametova, K. Rakhmanov, Dilfuza Makhmudova, Shaanvar Shamansurov et al.
Health Leadership and Quality of Life
Blockchain Technology Applications and Security
article

Privacy and security framework for medical data in a cloud infrastructure utilizing lightweight blockchain technology

Nadira Mirametova, K. Rakhmanov, Dilfuza Makhmudova, Shaanvar Shamansurov, Mexrangiz Narzullayeva, Zebo Almamatova, Ugilkhon Akilova, Aynash Omarova
article en

Abstract

Cloud-based information has consistently attracted cyber attackers. Medical Data (MD) on the cloud has emerged as a new focal point of interest. Assaults on MD may have devastating repercussions for healthcare companies. The decentralized management of cloud data helps mitigate the impact of assaults. A public ledger supported by a decentralized network of peers has been shown to provide reliable, auditable computing using Blockchain Technology (BT). Implementing authorization mechanisms and cryptographic primitives is inadequate for mitigating contemporary cyber risks and resolving privacy and security issues related to cloud-based environments. This study presents a Privacy and Security Framework in Cloud Infrastructure employing Lightweight Blockchain Technology (PSF-CI-LBT) for MD. A patient-focused MD management program using BT for storage has been introduced to enhance privacy. Cryptographic algorithms are employed to encrypt patients' MD and to guarantee concealment. The encryption, decryption time, and economic feasibility (cost) of the proposed technique's smart contract (SC) framework are assessed, along with the methodologies used for analyzing MD to encrypt and mask a patient's MD.

Health Leadership and Quality of LifeVol. 3
Nukus State Pedagogical Institute named after Ajiniyaz (UZ), Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (UZ), Samarkand State Medical Institute (UZ), Tashkent Chemical-Technological Institute (UZ), Jizzakh State Pedagogical University (UZ), Tashkent Pediatric Medical Institute (UZ)
Openalex Percentile: Top 56%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.