Analysis of the Performance Impact of Fine-Tuned Machine Learning Model for Phishing URL Detection
Phishing leverages people’s tendency to share personal information online. Phishing attacks often begin with an email and can be used for a variety of purposes. The cybercriminal will employ social engineering techniques to get the target to click on the link in the phishing email, which will take t...
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| Main Author: | Abdul Samad, Saleem Raja (author) |
|---|---|
| Other Authors: | Al-Kaabi, Amna Salim (author), Balasubaramanian, Sundarvadivazhagan (author), Bostani, Ali (author), Chowdhury, Subrata (author), Mehbodniya, Abolfazl (author), Sharma, Bhisham (author), Webber, Julian L. (author) |
| Published: |
2023
|
| Online Access: | http://hdl.handle.net/11675/10946 http://www.scopus.com/inward/record.url?scp=85152791137&partnerID=8YFLogxK |
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