The making of smart campus: A review and conceptual framework
Smart campus is an emerging concept enabled by digital transformation opportunities in
higher education. Smart campuses are often perceived as miniature replicas of smart cities …
higher education. Smart campuses are often perceived as miniature replicas of smart cities …
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 …
which is critical given that many of our activities are now conducted online. As a result of …
[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection
R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …
Machine learning-based social media bot detection: a comprehensive literature review
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 …
of each individual's daily life. The availability of the vast amount of information and their …
An assessment of lexical, network, and content‐based features for detecting malicious URLs using machine learning and deep learning models
The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
communities through Uniform Resource Locator (URL). Attackers utilize such means of …
Phishing URLs detection using sequential and parallel ML techniques: comparative analysis
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) …
daily life and are accessible to the users via uniform resource locators (URLs) …
Phishing attacks detection using machine learning and deep learning models
M Aljabri, S Mirza - 2022 7th International Conference on Data …, 2022 - ieeexplore.ieee.org
Because of the fast expansion of internet users, phishing attacks have become a significant
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …
menace where the attacker poses as a trusted entity in order to steal sensitive data, causing …
[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 …
response to the expansion of digital technologies and social media. Online advertising …
Classification of firewall log data using multiclass machine learning models
These days, we are witnessing unprecedented challenges to network security. This indeed
confirms that network security has become increasingly important. Firewall logs are …
confirms that network security has become increasingly important. Firewall logs are …
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 …
potential customers for businesses, brands, and organizations. One of the most serious …