Mitigating Cyber Risks in Next-Generation Aircraft: Securing Flight Control Systems from Remote Cyber Attacks

Nalwale, Rahul Raju (2024) Mitigating Cyber Risks in Next-Generation Aircraft: Securing Flight Control Systems from Remote Cyber Attacks. Masters thesis, Dublin, National College of Ireland.

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Abstract

The report titled "Mitigating Cyber Risks in Next-Generation Aircraft: “Protection of Flight Control Systems against Remote Cyber Threats” discusses the danger of modern highly integrated avionic systems to cyber threats arising from the developments in the field of aviation. The research lays down the fact that systems are vulnerable to remote cyber-attacks and also offers a solution that involves the use of intelligent algorithms to improve the system's security features. This paper follows a positivist research philosophy that encompasses secondary data analysis to design and compare machine learning approaches to perioperative abnormality identification. The results show that the proposed system has high efficiency in classifying real abnormal flights from those of normal flights reinforcing the role of this study in the domain of aviation. Despite certain drawbacks such as false negatives and problems with real-time processing, the proposed work makes a substantial contribution to the domain of aviation cyber security by developing an appropriate automated and adaptive system which can protect the next generation of aircraft from cyber threats. The research is concluded with recommendations for future work, which involve the incorporation of more precisely composed algorithms and the further application of the introduced system to expand the sphere of aviation security against rising cyber threats.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Pantridge, Michael UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Aviation Industry Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	30 Jul 2025 13:30
Last Modified:	30 Jul 2025 13:30
URI:	https://norma.ncirl.ie/id/eprint/8347

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