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Data Security on cloud using Hybrid Cryptography a PGP based encryption methodology

Saif, Ali (2023) Data Security on cloud using Hybrid Cryptography a PGP based encryption methodology. Masters thesis, Dublin, National College of Ireland.

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Abstract

This report outlines a web application that uses Elliptic Curve Cryptography (ECC) and Advanced Encryption Standard (AES) to improve data security in digital communications. The application uses C#.NET for programming and Microsoft SQL Server for database administration, leveraging the.NET Framework and ASP.NET. The cloud-based implementation, hosted on Microsoft Azure, makes use of Azure App Service and SQL Database Service to provide a safe platform for data transfers. The programme prioritises data security by utilising a hybrid technique that combines AES and ECC for PGP encryption. A comparative investigation reveals that ECC is the best cryptographic method. ECC’s efficiency in producing lower key sizes without sacrificing security, along with quicker cryptographic operations, demonstrates its benefit over RSA, which is especially noticeable when dealing with bigger file sizes. This abstract covers the technical stack, cloud deployment, the emphasis on ECC and AES in PGP, and the comparative study demonstrating ECC’s superiority over RSA for data security in a nutshell.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Heeney, Sean
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Cloud computing
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cloud Computing
Depositing User: Ciara O'Brien
Date Deposited: 10 Apr 2025 12:29
Last Modified: 10 Apr 2025 12:29
URI: https://norma.ncirl.ie/id/eprint/7410

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