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 …

A review of plant disease detection systems for farming applications

MSP Ngongoma, M Kabeya, K Moloi - Applied Sciences, 2023 - mdpi.com
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 …

Phishing web site detection using diverse machine learning algorithms

A Zamir, HU Khan, T Iqbal, N Yousaf, F Aslam… - The Electronic …, 2020 - emerald.com
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' …

A high-accuracy phishing website detection method based on machine learning

M Bahaghighat, M Ghasemi, F Ozen - Journal of Information Security and …, 2023 - Elsevier
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 …

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 …

Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning

MA Tamal, MK Islam, T Bhuiyan, A Sattar… - Frontiers in Computer …, 2024 - frontiersin.org
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 …

A lightweight multi-view learning approach for phishing attack detection using transformer with mixture of experts

Y Wang, W Ma, H Xu, Y Liu, P Yin - Applied Sciences, 2023 - mdpi.com
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 …

Ensemble-based logistic model trees for website phishing detection

VE Adeyemo, AO Balogun, HA Mojeed… - Advances in Cyber …, 2021 - Springer
The adverse effects of website phishing attacks are often damaging and dangerous as the
information gathered from unsuspecting users are used inappropriately and recklessly …

A lightweight data representation for phishing URLs detection in IoT environments

L Bustio-Martínez, MA Álvarez-Carmona… - Information …, 2022 - Elsevier
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 …

[HTML][HTML] Empirical analysis of data streaming and batch learning models for network intrusion detection

KS Adewole, TT Salau-Ibrahim, AL Imoize, ID Oladipo… - Electronics, 2022 - mdpi.com
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 …