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Detecting malicious URLs using machine learning techniques: review and research directions
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 …
A review of plant disease detection systems for farming applications
The globe and more particularly the economically developed regions of the world are
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …
currently in the era of the Fourth Industrial Revolution (4IR). Conversely, the economically …
Phishing web site detection using diverse machine learning algorithms
Purpose This paper aims to present a framework to detect phishing websites using stacking
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
model. Phishing is a type of fraud to access users' credentials. The attackers access users' …
A high-accuracy phishing website detection method based on machine learning
The rapid development of e-commerce, e-banking, and social networks has made phishing
attack detection one of the most critical technologies in all cyber security systems. To …
attack detection one of the most critical technologies in all cyber security systems. To …
Phishing email detection model using deep learning
S Atawneh, H Aljehani - Electronics, 2023 - mdpi.com
Email phishing is a widespread cyber threat that can result in the theft of sensitive
information and financial loss. It uses malicious emails to trick recipients into providing …
information and financial loss. It uses malicious emails to trick recipients into providing …
Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning
Introduction The dynamic and sophisticated nature of phishing attacks, coupled with the
relatively weak anti-phishing tools, has made phishing detection a pressing challenge. In …
relatively weak anti-phishing tools, has made phishing detection a pressing challenge. In …
A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts
Phishing poses a significant threat to the financial and privacy security of internet users and
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
often serves as the starting point for cyberattacks. Many machine-learning-based methods …
Ensemble-based logistic model trees for website phishing detection
The adverse effects of website phishing attacks are often damaging and dangerous as the
information gathered from unsuspecting users are used inappropriately and recklessly …
information gathered from unsuspecting users are used inappropriately and recklessly …
A lightweight data representation for phishing URLs detection in IoT environments
Phishing is a cyber-attack that exploits victims' technical ignorance or naivety and commonly
involves a Uniform Resources Locator (URL). Hence, it is advantageous to detect a phishing …
involves a Uniform Resources Locator (URL). Hence, it is advantageous to detect a phishing …
[HTML][HTML] Empirical analysis of data streaming and batch learning models for network intrusion detection
Network intrusion, such as denial of service, probing attacks, and phishing, comprises some
of the complex threats that have put the online community at risk. The increase in the …
of the complex threats that have put the online community at risk. The increase in the …