Using Machine Learning Algorithms to Detect Phishing Attack

Kulkarni, Shreyas Chandrakanth (2024) Using Machine Learning Algorithms to Detect Phishing Attack. Masters thesis, Dublin, National College of Ireland.

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Abstract

Cyberfraud, particularly through phishing attempts, is a significant issue in corporate operations. This might impede business operations but also deprive valuable and critical information. This study's main objective is to address the issue of identifying phishing and not disturbing employees with these harmful email attacks. The proposal is to make an intelligent pipeline using machine learning to mitigate the case of phishing attacks. Various Machine Learning techniques including deep learning models, will be evaluated to determine their effectiveness in detecting inappropriate behavior in greedy search-based pipeline networks. Since machine learning has been identified as a crucial instrument in combating cybercrime, this response system can work agnostic to any organization and data to give a proper security service and maintain the server networks. These results further emphasize the significance of employing adaptable techniques to address emerging security challenges.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Salahuddin, Jawad UNSPECIFIED
Uncontrolled Keywords:	DDoS attack; Phishing Email attacks; Machine Learning; Deep Learning; Response System
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing 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:	17 Jul 2025 16:25
Last Modified:	17 Jul 2025 16:25
URI:	https://norma.ncirl.ie/id/eprint/8177

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