NORMA eResearch @NCI Library

Emergency Access Control Credit Level – Based System Using Blockchain with Cloud Storage

Sankaran Arivukkarasu, Sneha (2025) Emergency Access Control Credit Level – Based System Using Blockchain with Cloud Storage. Masters thesis, Dublin, National College of Ireland.

[thumbnail of Master of Science]
Preview
PDF (Master of Science)
Download (790kB) | Preview
[thumbnail of Configuration Manual]
Preview
PDF (Configuration Manual)
Download (345kB) | Preview

Abstract

The introduction of immediate digitalised healthcare has considerably enhanced administration and accessibility of the patient data however the problem arises in maintaining stability and safety under circumstances of emergency. This paper suggests an emergency access control system built on blockchain technology with a credit-level-based access control manager and coupled with cloud storage systems to strike the right balance between fast data read and demanding security demands. It performs enrolment of doctors using Ethereum smart contracts with a predefined credit limit that restricts the extent of the collection of data on patients. Transactions will be permanently kept on the block chain including registrations and access requests to ensure that everything is clear and auditable. All the information of patients is a backed-up storage in encrypted CSV format on Amazon Web Services (AWS) Simple Storage Service (S3), which could easily scale and be robust. On a correct authorisation request, the backend would issue a one-time temporary access token, lasting five minutes, that permits safe retrieval of the data without allowing extended unauthorised access. The prototype was deployed to the Ethereum Sepolia test net and transactions could be verified using Etherscan and against a range of scenarios such as duplicate registrations, too low credit levels, and token expiry. Findings prove that the system is efficient in the implementation of credit-level restrictions, elimination of unauthorised access, and provision of verifiable audit trails. This strategy proves to be capable of increasing trust, acceptance and working efficiency in emergency healthcare data management providing scaling model of adopting it to wider electronic health record systems

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Gupta, Punit
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Computer software > Computer Security > Database security > Blockchains (Databases)
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security > Database security > Blockchains (Databases)
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources > Databases > Distributed databases > Blockchains (Databases)
T Technology > T Technology (General) > Information Technology > Cloud computing
R Medicine > Healthcare Industry
Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Ciara O'Brien
Date Deposited: 30 Mar 2026 13:55
Last Modified: 30 Mar 2026 13:55
URI: https://norma.ncirl.ie/id/eprint/9256

Actions (login required)

View Item View Item