Nagam, Anil Kumar (2024) Enhancing Data Privacy in Cloud Computing through Homomorphic Encryption. Masters thesis, Dublin, National College of Ireland.
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Abstract
Security of the data is one of the biggest challenges in cloud computing especially when used by businesses such as, the healthcare sector that deals with confidential information. To tackle this challenge, this research proposes a modular framework for securely storing the remote data, and also for processing them resulting from utilizing homomorphic encryption in cloud environments. The system combines encryption methods with multi-cloud storage capabilities, compatible with, for example, AWS S3, Google Cloud Storage, and Microsoft Azure Blob Storage. The implementation uses SEAL library to ensure data privacy as well as providing capability to per- form computations on encrypted data. Official performance and security assessments clearly proved the required effectiveness of the system. Encryption and decryption processes were fast for small to medium sized dataset and AWS had the least cloud interaction time. Audits confirmed the intended functionality of the system, and its ability to repel outside interference and data manipulation. That way the system addressed research objectives though there is a tradeoff for computational cost for large data set and scalability issues. Future work outlines methodical optimizations, distributed processing approaches, and, the application of proposed models in actual healthcare environments. The results can be relevant for both researches and practitioners to advance the knowledge on constructing the reliable and safe cloud platforms. By doing so, this research provides a good starting point for continued improvement of cloud security for data management.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Salahuddin, Jawad 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 Cyber Security |
Depositing User: | Ciara O'Brien |
Date Deposited: | 25 Jul 2025 15:35 |
Last Modified: | 25 Jul 2025 15:35 |
URI: | https://norma.ncirl.ie/id/eprint/8233 |
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