Homomorphic Encryption as a Counter Measure for Data Breach and Insider Threat

Pradhan, Anurodhan (2023) Homomorphic Encryption as a Counter Measure for Data Breach and Insider Threat. Masters thesis, Dublin, National College of Ireland.

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Abstract

In the digital era, where data breaches and insider threats are becoming common, securing sensitive data has become crucial. This research paper dives into Homomorphic Encryption (HE) as an innovative solution to these cybersecurity challenges, comparing it with traditional encryption methods. The motivation behind this study is driven by the need for encryption techniques that allow data processing while maintaining absolute confidentiality, even after the data gets exposed. This study assesses HE's ability to ensure data privacy during computing and resist potential quantum computing threats. This research compares HE with traditional encryption techniques, emphasising HE's unique potential to carry out calculations on encrypted data and providing a better way of maintaining data integrity and confidentiality in complex processing scenarios. This research plays a significant role in encountering data privacy and security threats. The advanced level of security enables the computation of encrypted data. However, a substantial amount of computation overhead and complexity will be there. Despite these challenges, the potential of HE to safeguard data against insider threats, data breaches and future quantum attacks makes this research important to the end users, which includes organisations and individuals. In this report, we presented an algorithm to perform HE on strings, numbers, and special characters. The implementation and details of the algorithm and results are shown.

Item Type:	Thesis (Masters)
Supervisors:	Name Email McLaughlin, Eugene UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science 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:	21 Apr 2025 13:36
Last Modified:	21 Apr 2025 13:36
URI:	https://norma.ncirl.ie/id/eprint/7454

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