[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

[HTML][HTML] A survey of machine learning-based solutions for phishing website detection

L Tang, QH Mahmoud - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …

[HTML][HTML] A hybrid DNN–LSTM model for detecting phishing URLs

A Ozcan, C Catal, E Donmez, B Senturk - Neural Computing and …, 2023 - Springer
Phishing is an attack targeting to imitate the official websites of corporations such as banks,
e-commerce, financial institutions, and governmental institutions. Phishing websites aim to …

[HTML][HTML] Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

Machine learningtechniquesfor detection of website phishing: A review for promises and challenges

A Odeh, I Keshta, E Abdelfattah - 2021 IEEE 11th Annual …, 2021 - ieeexplore.ieee.org
Websites phishing is a cyber-attack that targets online users to steal their sensitive
informationincluding login credentials and banking details. Attackers fool the users by …

Phishing URL detection: A real-case scenario through login URLs

M Sánchez-Paniagua, EF Fernández, E Alegre… - IEEE …, 2022 - ieeexplore.ieee.org
Phishing is a social engineering cyberattack where criminals deceive users to obtain their
credentials through a login form that submits the data to a malicious server. In this paper, we …

[HTML][HTML] Phishing websites detection using a novel multipurpose dataset and web technologies features

M Sánchez-Paniagua, E Fidalgo, E Alegre… - Expert Systems with …, 2022 - Elsevier
Phishing attacks are one of the most challenging social engineering cyberattacks due to the
large amount of entities involved in online transactions and services. In these attacks …

An enhanced deep learning‐based phishing detection mechanism to effectively identify malicious URLs using variational autoencoders

MK Prabakaran, P Meenakshi Sundaram… - IET Information …, 2023 - Wiley Online Library
Phishing attacks have become one of the powerful sources for cyber criminals to impose
various forms of security attacks in which fake website Uniform Resource Locators (URL) are …

Lightweight URL-based phishing detection using natural language processing transformers for mobile devices

K Haynes, H Shirazi, I Ray - Procedia Computer Science, 2021 - Elsevier
Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …

Hybrid phishing detection using joint visual and textual identity

CCL Tan, KL Chiew, KSC Yong, Y Sebastian… - Expert systems with …, 2023 - Elsevier
In recent years, phishing attacks have evolved considerably, causing existing adversarial
features that were widely utilised for detecting phishing websites to become less …