SecureMail: An RPA Approach to Phishing Detection

Sharma, Surya Punj (2024) SecureMail: An RPA Approach to Phishing Detection. Masters thesis, Dublin, National College of Ireland.

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Abstract

Phishing attacks have been a major threat to organisations and individuals and may lead to big data breaches or complete shutdown of business processes. Effective phishing detection methods have been in industry from long period of time but due to new trends in phishing techniques some innovative approach is essential to counter it, and the motivation of this project was to look for alternate technique to tackle phishing emails. The project work emphasizes on the role of RPA (Robotic Process Automation) technology to detect phishing emails in user mailbox that provides the user extra sense of awareness while opening a potentially suspicious email. This study explores the implementation of Microsoft’s RPA tool; Power Automate. The RPA flow designed in Power Automate retrieves the emails from Gmail server and further analyse them by finding malicious words or checking the quality of link. The main finding of this project promotes the technology RPA in automating phishing detection, Automation being a huge market in the world data, offers scalability and an important solution in field of Cyber Security. The successful implementation and positive final evaluations demonstrate that the use of interactive GUI (Graphical user Interface) and low code solutions with RPA tools can help in improving the phishing detection capabilities.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Hafeez, Khadija 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 Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > Electronic Mail T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > Electronic Mail 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:	31 Jul 2025 09:19
Last Modified:	31 Jul 2025 09:19
URI:	https://norma.ncirl.ie/id/eprint/8372

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