PhishGuard: Machine learning-powered phishing URL detection

• Main Authors: Murad, Saydul Akbar, Rahimi, Nick, Abu Jafar, Md Muzahid
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/41831/1/PhishGuard_Machine%20learning-powered%20phishing%20URL%20detection.pdf; http://umpir.ump.edu.my/id/eprint/41831/2/PhishGuard_Machine%20learning-powered%20phishing%20URL%20detection_ABS.pdf; http://umpir.ump.edu.my/id/eprint/41831/; https://doi.org/10.1109/CSCE60160.2023.00371

Phishing is a major threat to internet security, targeting human vulnerabilities instead of software vulnerabilities. It involves directing users to malicious websites where their sensitive information can be stolen. Many researchers have worked on detecting phishing URLs, but their models have limi...