An intelligent identification and classification system for malicious uniform resource locators (URLs)

Q Abu Al-Haija, M Al-Fayoumi - Neural Computing and Applications, 2023 - Springer
Abstract Uniform Resource Locator (URL) is a unique identifier composed of protocol and
domain name used to locate and retrieve a resource on the Internet. Like any Internet …

[HTML][HTML] Cost-effective detection system of cross-site scripting attacks using hybrid learning approach

QA Al-Haija - Results in Engineering, 2023 - Elsevier
Abstract Cross-Site Scripting (XSS) attacks inject malicious code payloads into web
application logs, triggering stored cross-site scripting execution when accessing the view …

HTTP header based phishing attack detection using machine learning

S Shukla, M Misra, G Varshney - Transactions on Emerging …, 2024 - Wiley Online Library
In the past, many techniques like blacklisting/whitelisting, third‐party, search engine, visual
similarity, heuristic, URL features, and website content were used for anti‐phishing. Search …

Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review

AUZ Asif, H Shirazi, I Ray - … Symposium on Stabilizing, Safety, and Security …, 2023 - Springer
Phishing is a social engineering attack in which an attacker sends a fraudulent message to a
user in the hope of obtaining sensitive confidential information. Machine learning appears to …

Deploying Hybrid Ensemble Machine Learning Techniques for Effective Cross-Site Scripting (XSS) Attack Detection.

NU Bacha, S Lu, A Ur Rehman… - Computers …, 2024 - search.ebscohost.com
Abstract Cross-Site Scripting (XSS) remains a significant threat to web application security,
exploiting vulnerabilities to hijack user sessions and steal sensitive data. Traditional …

A systematic review: Detecting phishing websites using data mining models

D Jibat, S Jamjoom, QA Al-Haija… - Intelligent and …, 2023 - ieeexplore.ieee.org
As internet technology use is on the rise globally, phishing constitutes a considerable share
of the threats that may attack individuals and organizations, leading to significant losses from …

XAI-PhD: Fortifying Trust of Phishing URL Detection Empowered by Shapley Additive Explanations.

M Al-Fayoumi, B Alhijawi… - … Journal of Online & …, 2024 - search.ebscohost.com
The rapid growth of the Internet has led to an increased demand for online services.
However, this surge in online activity has also brought about a new threat: phishing attacks …

MLPhishChain: a machine learning-based blockchain framework for reducing phishing threats

F Trad, E Semaan-Nasr, A Chehab - Frontiers in Blockchain, 2024 - frontiersin.org
Introduction Phishing attacks pose a significant threat to online security by deceiving users
into divulging sensitive information through fraudulent websites. Traditional anti-phishing …

Using Machine Learning to Detect and Classify URLs: A Phishing Detection Approach

Mahesh, Ananth, Dheepthi - 2023 4th International Conference …, 2023 - ieeexplore.ieee.org
It has become absolutely necessary to identify malicious URLs in real time due to the
growing number of cyber-attacks and fraudulent activities that take place on the internet …

[PDF][PDF] Real-time phishing URL detection framework using knowledge distilled ELECTRA

KS Jishnu, B Arthi - … za automatiku, mjerenje, elektroniku, računarstvo i …, 2024 - hrcak.srce.hr
Real-time phishing URL detection framework using knowledge distilled ELECTRA Page 1
Automatika Journal for Control, Measurement, Electronics, Computing and Communications …