Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184165
Title: Defending against phishing attacks
Authors: Zhang, Harvey Tianren
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Zhang, H. T. (2025). Defending against phishing attacks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184165
Project: CCDS24-0380
Abstract: With the rise of using artificial intelligence in phishing attacks, attackers are now able to craft highly convincing lures to steal information. This paper explores the use of machine learning to identify phishing URLs through their lexical features, with the aim to contribute to more robust and scalable solutions for mitigating the risks posed by phishing attacks.
URI: https://hdl.handle.net/10356/184165
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

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