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Human-centric Approach to Emails Phishing Detection

Pepe, Ermesa (2022) Human-centric Approach to Emails Phishing Detection. Masters thesis, Dublin, National College of Ireland.

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In recent years, cyber-phishing attacks have become increasingly sophisticated, targeted, and tailored to be effective only when specific information is provided. It is, therefore, impossible for automated detection systems to be 100% accurate all the time, which increases the uncertainty surrounding expected behaviour when confronting a potential phishing email. Human-centric defence approaches, on the other hand, emphasise extensive user training. However, users are often unaware of the continuously emerging patterns. Identifying an email recipient’s intentions and emotional triggers by analysing the email’s text and summarising the most relevant parts is a fascinating approach to identifying these threats. As a solution, a transformer-based approach is proposed to analyse psychosocial triggers in emails, detect spam emails and possible malicious intent, and summarise emails. Using this information, we facilitate the user’s ability to determine whether an email is phishing and learn advanced malicious patterns on their own.

Item Type: Thesis (Masters)
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
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 28 Feb 2023 17:23
Last Modified: 28 Feb 2023 17:23

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