Chapter One — 1.1 Background to the Study

Organizations that depend on digital identity verification systems are under increasing pressure to modernize, and Serverless Computing has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing digital identity verification systems were not originally designed with serverless computing in mind, resulting in persistent gaps in fraud detection accuracy that limit their overall effectiveness. This study examines how Serverless Computing can be applied to help close that gap.

1.2 Statement of the Problem

Current digital identity verification systems in many organizations struggle with inadequate fraud detection accuracy, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating serverless computing, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a serverless computing-based approach to addressing this problem.

1.3 Objectives of the Study

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

1.4 Research Questions

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

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Serverless Computing within digital identity verification systems. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on serverless computing applications in software technology / IT.

1.6 Scope of the Study

As a study of this kind, its scope is confined to designing and evaluating a serverless computing-based solution for digital identity verification systems, focused specifically on fraud detection accuracy; broader deployment considerations fall outside this scope.