@inproceedings{712e2ebd4311467bb03b50eef19c3c8e,
title = "Phishing Detection Based on Webpage Content: Static and Dynamic Analysis",
abstract = "Phishing attacks present a formidable cybersecurity problem, that continue to grow despite efforts to counter. This research investigates the potentials of dynamic analysis of webpages for detecting phishing behavior compared to static analysis. We performed automated analysis on a large dataset of 30,000 samples. Findings show that dynamic analysis achieved a higher accuracy rate, demonstrating a significant potential in page content analysis for phishing detection. Dynamic analysis reduced uncertainty in difficult-to-classify samples by 16%, enhancing the algorithm's resilience. Leveraging webpage content offers promising prospects for phishing detection, providing a valuable complement to existing systems and aiding in detecting sophisticated attacks.",
keywords = "Dynamic analysis, Page content analysis, Phishing attacks, Static analysis, Webpage Analysis",
author = "Alexander O'Mara and Izzat Alsmadi and Ahmed Aleroud and Dalal Alharthi",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd Intelligent Cybersecurity Conference, ICSC 2023 ; Conference date: 23-10-2023 Through 25-10-2023",
year = "2023",
doi = "10.1109/ICSC60084.2023.10349975",
language = "English (US)",
series = "2023 3rd Intelligent Cybersecurity Conference, ICSC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "39--45",
editor = "Yaser Jararweh and Mohammad Alsmirat and Moayad Aloqaily and Izzat Alsmadi",
booktitle = "2023 3rd Intelligent Cybersecurity Conference, ICSC 2023",
}