Detecting malicious URLs using machine learning techniques: review and research directions

M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …

Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …

Phishing URLs detection using sequential and parallel ML techniques: comparative analysis

N Nagy, M Aljabri, A Shaahid, AA Ahmed, F Alnasser… - Sensors, 2023 - mdpi.com
In today's digitalized era, the world wide web services are a vital aspect of each individual's
daily life and are accessible to the users via uniform resource locators (URLs) …

[HTML][HTML] Click fraud detection for online advertising using machine learning

M Aljabri, RMA Mohammad - Egyptian Informatics Journal, 2023 - Elsevier
Advertising corporations have moved their focus to online and in-App advertisements in
response to the expansion of digital technologies and social media. Online advertising …

AI-based techniques for Ad click fraud detection and prevention: Review and research directions

RA Alzahrani, M Aljabri - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
Online advertising is a marketing approach that uses numerous online channels to target
potential customers for businesses, brands, and organizations. One of the most serious …

Machine learning-based detection for unauthorized access to IoT devices

M Aljabri, AA Alahmadi, RMA Mohammad… - Journal of Sensor and …, 2023 - mdpi.com
The Internet of Things (IoT) has become widely adopted in businesses, organizations, and
daily lives. They are usually characterized by transferring and processing sensitive data …

Fake news detection using machine learning models

M Aljabri, DM Alomari… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Nowadays, with the widespread use of technology, fake news and rumors are spreading too.
People and society are greatly impacted by fake news, which also can be used as phishing …

A Heterogeneous Machine Learning Ensemble Framework for Malicious Webpage Detection

SS Shin, SG Ji, SS Hong - Applied Sciences, 2022 - mdpi.com
The growing dependence on digital systems has heightened the risks posed by
cybersecurity threats. This paper proposes a new method for detecting malicious webpages …

A Decision-Fusion-Based Ensemble Approach for Malicious Websites Detection

A Alanazi, A Gumaei - Applied Sciences, 2023 - mdpi.com
Malicious websites detection is one of the cyber-security tasks that protects sensitive
information such as credit card details and login credentials from attackers. Machine …

Detection of phishing addresses and pages with a data set balancing approach by generative adversarial network (GAN) and convolutional neural network (CNN) …

S Jafari, N Aghaee‐Maybodi - Concurrency and Computation …, 2024 - Wiley Online Library
Phishing attacks have a remarkable ability to steal user information by using simple
techniques. Phishing attacks steal valuable information, such as user names and …