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    <link>https://www.um.edu.mt/library/oar/handle/123456789/124578</link>
    <description />
    <pubDate>Wed, 15 Apr 2026 19:33:10 GMT</pubDate>
    <dc:date>2026-04-15T19:33:10Z</dc:date>
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      <title>A blockchain-based framework and process guide for intelligent exchange and use of health information in low resource environments</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/129597</link>
      <description>Title: A blockchain-based framework and process guide for intelligent exchange and use of health information in low resource environments
Abstract: Enterprise software systems integration can be simple or complicated depending on the number of components and predictability of component interactions. Designing enterprise software systems with many adaptive components that learn as they interact is not easy. Software systems are often designed as function-specific systems that mimic user concerns modeled around organizational structure and communication patterns. Even a single and simple enterprise now has multiple integrated applications. Traditional integration styles are file sharing, shared databases, remote procedure calls, and messaging. These traditional approaches often require a trusted and centralized access-issuing database owner for multi-stakeholder enterprise systems. In the last decade, a new trustless software integration pattern has been facilitated by blockchain. Enterprise blockchain frameworks have been developed, yet practical use cases are few. Use cases still require domain data standardization, token modeling, and interface for regulatory intervention while preserving participants' privacy. This Thesis investigates enterprise integration using the Health Information Exchange (HIE) use case whose value proposition to healthcare stakeholders&#xD;
is well established. Governments, software vendors, non-profits, and private players traditionally perform the central HIE intermediation role. These intermediation efforts faced many bottlenecks. One main challenge is exchanging large numbers of structured, unstructured, and standardized datasets and terminology sets. This complexity has, over the years, resulted in many healthcare data standards.
Description: Ph.D.(Melit.)</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-01-01T00:00:00Z</dc:date>
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      <title>Data security in cloud-centric multi-tenant databases</title>
      <link>https://www.um.edu.mt/library/oar/handle/123456789/124735</link>
      <description>Title: Data security in cloud-centric multi-tenant databases
Abstract: Cloud computing has swiftly gained momentum in the technological industry, owing &#xD;
to its numerous benefits, notably its ability to scale, ensure availability, and lower expenses. Countless organisations have transitioned their operations to the cloud, and it &#xD;
is anticipated that nearly all businesses will rely on cloud-based systems in the forth-coming years.&#xD;
Cloud computing has initiated significant transformations, particularly in the &#xD;
realm of Software as a Service (SaaS), where conventional database management systems (DBMSs) have evolved into Cloud-DBMSs (CDBMSs). Alongside this transition &#xD;
and within the same domain, there has been a shift from conventional single tenant &#xD;
database systems towards multi-tenant architectures that facilitate efficient sharing of &#xD;
the underlying infrastructure and resources. &#xD;
Despite the prior-mentioned advantages, organisations continue to exhibit hesitancy in adopting multi-tenant database systems particularly due to concerns regarding data security. The prospect of storing data from multiple tenants on the same server, or potentially within the same database tables, amplifies apprehensions of unauthorised access. Within this context, the focus of this dissertation revolves around the domain of cloud-centric database security, with particular focus on the unique intricacies presented by multi-tenant architectures.&#xD;
The aim is that of creating an automated process that aids software houses and &#xD;
database administrators in implementing security assertions for multi-tenant database &#xD;
systems prior to storing data online. This automation, in the form of a Computer-Aided Software Engineering (CASE) tool, enables the generation of tenant-specific secure database profiles, taking into account prevalent threats in CDBMSs and a comprehensive list of security requirements. A relational data model and SQL scripts are utilised as the main basis of this thesis whilst database design diagrams ensure that security is inbuilt from the initial stages of database design. Conclusively, a comprehensive analysis conducted on the proposed tool across various dimensions, including system coverage, performance, and security, demonstrates its successful attainment &#xD;
of the objectives established prior to its development.
Description: Ph.D.(Melit.)</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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      <dc:date>2024-01-01T00:00:00Z</dc:date>
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