Chapter One — 1.1 Background to the Study

Edge Computing has become one of the more actively explored innovations in the design of modern cloud storage management systems, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

Despite this potential, many existing cloud storage management systems were not originally designed with edge computing in mind, resulting in persistent gaps in fraud detection accuracy that limit their overall effectiveness. This study examines how Edge Computing can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to fraud detection accuracy within cloud storage management systems remain largely reactive and fragmented, with little systematic use of edge computing despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around edge computing.

1.3 Objectives of the Study

1. To design and implement a edge computing-based approach to improving fraud detection accuracy in cloud storage management systems.
2. To evaluate the effectiveness of Edge Computing in enhancing fraud detection accuracy within cloud storage management systems.
3. To identify the key requirements and constraints relevant to deploying edge computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can edge computing be applied to improve fraud detection accuracy in cloud storage management systems?
2. How effective is Edge Computing at enhancing fraud detection accuracy within cloud storage management systems?
3. What requirements and constraints are relevant to deploying edge computing in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in edge computing for their own cloud storage management systems, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a edge computing-based approach to improving fraud detection accuracy within cloud storage management systems. Reflecting its MSc-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.