Master theses

In this era of fake news, where data integrity and transparency are critical, organizations struggle to ensure that data modifications remain traceable and verifiable. Consider a healthcare provider maintaining patient records—any unauthorized change to this data could have severe consequences. Distributed Ledger Technology (DLT), particularly blockchain, offers a promising solution by providing an immutable, time-stamped record of all data updates. This thesis explores how DLT can be leveraged to create an auditable trail of data modifications in a data vault, ensuring compliance, security, and accountability. By integrating DLT into data management systems, organizations can prevent fraud, detect unauthorized changes, and simplify regulatory reporting—all while enhancing trust in their data infrastructure.

In this thesis, you will examine the technical feasibility, performance implications, and security benefits of using DLT for data vault auditing. A comparative analysis of different ledger architectures, such as public, private, and hybrid blockchains, will be conducted to determine their suitability for enterprise data governance. Additionally, the study will assess challenges such as scalability, cost, and interoperability with existing data management frameworks. By addressing these aspects, this thesis aims to provide a comprehensive understanding of how DLT can enhance data integrity and establish a reliable, verifiable audit trail across industries.