Detection of phishing websites using machine learning approaches

• Main Authors: Farashazillah Yahya, Magnus Anai, Ryan Isaac W Mahibol, Sidney Allister Frankie, Rio Guntur Utomo, Chong Kim Ying, Eric Ling Nin Wei
• Format: Proceedings
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers 2021
• Subjects: Q1-295 General; TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
• Online Access: https://eprints.ums.edu.my/id/eprint/32525/1/Detection%20of%20phishing%20websites%20using%20machine%20learning%20approaches.ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/32525/2/Detection%20of%20phishing%20websites%20using%20machine%20learning%20approaches.pdf; https://eprints.ums.edu.my/id/eprint/32525/; https://ieeexplore.ieee.org/document/9617482

As the world responded to the Coronavirus Disease 2019 (COVID-19) pandemic in 2020, digital operations became more important, and people started to depend on new initiatives such as the cloud and mobile infrastructure. Consequently, the number of cyberattacks such as phishing has increased. Phishing...