Advanced Intrusion Detection for IOT Devices

Kannan, Vignesh (2024) Advanced Intrusion Detection for IOT Devices. Masters thesis, Dublin, National College of Ireland.

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Abstract

With the rapid growth of data scales and complexities, the optimization of database systems for high-performance computing tasks is becoming increasingly important. The current paper discusses an advanced optimization framework that is intended to address these challenges by means of innovative algorithmic and architectural solutions. Considering the fact that existing database management systems are scarcely applicable for efficient dealing with large-scale, high-throughput applications, the investigation relies on a combination of adaptive indexing and parallel processing. Empirical evaluation of the proposed framework demonstrates that the performance gains are substantial, with the SVC achieving an accuracy of 78.20%, ANN accuracy being 78.14%, and RFC demonstrating the most prominent achievement of 96%. Thus, it can be concluded that the combination of adaptive indexing and parallelism contributes to the effective alleviation of the demands required by contemporary computational tasks. The major contributions of the research concern the formulation of a robust methodology for modern applications usable for both further research and practical tasks regarding the optimization of database systems. Overall, the present study is useful for the relevant area as it helps to gain a better understanding of the ways to improve database system performance and contributes to the increase of efficiency and scalability critical for high-performance computing environments.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Heffernan, Niall UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	30 Jul 2025 10:08
Last Modified:	30 Jul 2025 10:08
URI:	https://norma.ncirl.ie/id/eprint/8329

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