Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study

• Published in: International journal on semantic web and information systems Vol. 18; no. 1; pp. 1 - 24
• Main Authors: Almomani, Ammar, Alauthman, Mohammad, Shatnawi, Mohd Taib, Alweshah, Mohammed, Alrosan, Ayat, Alomoush, Waleed, Gupta, Brij B
• Format: Journal Article
• Language: English
• Published: Hershey IGI Global 01.01.2022
• Subjects: Cybersquatting; Cyberterrorism; Identity theft; Machine learning; Phishing; Social networks; Web sites; United Arab Emirates

The phishing attack is one of the main cybersecurity threats in web phishing and spear phishing. Phishing websites continue to be a problem. One of the main contributions to our study was working and extracting the URL & Domain Identity feature, Abnormal Features, HTML and JavaScript Features, a...