Abstract

This thesis is focused on improving the way airlines have managed risks from third-party vendors. Emirates and Etihad have been used as case studies. The thesis identifies major issues, including cybersecurity threats, slow manual processes, and the challenges in the following global regulations. To To solve such problems, the research proposes a new framework that integrates advanced tools including machine learning, blockchain, and real-time updates about threats. The framework includes different features like automatic risk scoring and detection of unusual vendor behavior and keeping the secure digital records through the blockchain. This will highlight the need for the staff to train across departments for creating a strong culture aware of risks. In addition, it includes the plans for handling the regulatory disruption and ensures a smooth operation during the issues related to the vendors. The research has used interviews, observations, and document reviews for understanding the current systems and the gaps present. The proposed framework gives a theoretical analysis that suggested that the proposed framework for the management of third-party risks, ensures safety and compliance, and enhances efficiency. This study gives practical solutions that aid airlines and other industries in dealing with third-party risks in a more effective manner.

Library of Congress Subject Headings

Airlines--Management--Security measures--United Arab Emirates; Airlines--Risk management--United Arab Emirates; Computer security; Machine learning; Blockchains (Databases)

Publication Date

5-2025

Document Type

Thesis

Student Type

Graduate

Degree Name

Computing Security (MS)

Advisor

Khalil Al Hussaeni

Campus

RIT Dubai

Plan Codes

COMPSEC-MS

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