Enhancing Cloud Security: Implementing and Evaluating the Zero Trust Architecture with Firebase Services and Advanced Encryption Algorithms

Babu, Manohar (2024) Enhancing Cloud Security: Implementing and Evaluating the Zero Trust Architecture with Firebase Services and Advanced Encryption Algorithms. Masters thesis, Dublin, National College of Ireland.

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Abstract

To enhance the cloud security developing a web-based user management system integrating authentication while implementing the Zero-trust model. The implementation leveraged tools like Firebase for authentication and data handling, hosted on AWS servers. The project addressed prevalent concerns in modern cybersecurity, emphasizing the need for robust access control and data security in web applications. This model assumes no implicit trust, validating every request explicitly and enforcing the principle of least privilege. The project's primary contribution lay in its holistic approach to user management, incorporating Firebase tools for authentication, custom claims, and real-time database handling. The system effectively validated users through Firebase authentication and secured data handling via Firebase's real-time database with meticulous security rules. The findings align with the current state of the art in cybersecurity by showcasing an application of the Zero-trust model within a web-based user management system. Cloud storage is becoming a dependable method of storing data, there are still significant security concerns that affect both cloud computing and cloud storage, including maintaining confidentiality integrity as well as confidentiality. The integration of advanced encryption algorithms, namely Double AES (DAES) and Blowfish, within cloud storage systems, particularly focusing on Amazon S3, to bolster data security. The research examines the implementation of these robust encryption methods and evaluates their impact on data transfer efficiency and system performance. The investigation involves encrypting files using DAES and Blowfish before uploading them to an Amazon S3 bucket. Through empirical analysis, this study assesses the encryption time, throughput, and overall performance implications of integrating these encryption algorithms into cloud storage.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Vangujar, Apurva 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 > Algebra > Algorithms > Computer algorithms 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 Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	15 Apr 2025 13:17
Last Modified:	15 Apr 2025 13:17
URI:	https://norma.ncirl.ie/id/eprint/7426

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