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 …

SoK: a comprehensive reexamination of phishing research from the security perspective

A Das, S Baki, A El Aassal, R Verma… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

[HTML][HTML] Phishing attacks: A recent comprehensive study and a new anatomy

Z Alkhalil, C Hewage, L Nawaf, I Khan - Frontiers in Computer Science, 2021 - frontiersin.org
With the significant growth of internet usage, people increasingly share their personal
information online. As a result, an enormous amount of personal information and financial …

Machine learning based phishing detection from URLs

OK Sahingoz, E Buber, O Demir, B Diri - Expert Systems with Applications, 2019 - Elsevier
Due to the rapid growth of the Internet, users change their preference from traditional
shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try …

An effective detection approach for phishing websites using URL and HTML features

A Aljofey, Q Jiang, A Rasool, H Chen, W Liu, Q Qu… - Scientific Reports, 2022 - nature.com
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …

A survey of phishing attack techniques, defence mechanisms and open research challenges

AK Jain, BB Gupta - Enterprise Information Systems, 2022 - Taylor & Francis
Phishing is an identity theft, which deceives Internet users into revealing their sensitive data,
eg, login information, credit/debit card details, and so on. Researchers have developed …

Application of deep learning to cybersecurity: A survey

S Mahdavifar, AA Ghorbani - Neurocomputing, 2019 - Elsevier
Abstract Cutting edge Deep Learning (DL) techniques have been widely applied to areas
like image processing and speech recognition so far. Likewise, some DL work has been …

[HTML][HTML] A machine learning framework for sport result prediction

RP Bunker, F Thabtah - Applied computing and informatics, 2019 - Elsevier
Abstract Machine learning (ML) is one of the intelligent methodologies that have shown
promising results in the domains of classification and prediction. One of the expanding areas …

Phishing website detection based on multidimensional features driven by deep learning

P Yang, G Zhao, P Zeng - IEEE access, 2019 - ieeexplore.ieee.org
As a crime of employing technical means to steal sensitive information of users, phishing is
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …

Ai meta-learners and extra-trees algorithm for the detection of phishing websites

YA Alsariera, VE Adeyemo, AO Balogun… - IEEE …, 2020 - ieeexplore.ieee.org
Phishing is a type of social web-engineering attack in cyberspace where criminals steal
valuable data or information from insensitive or uninformed users of the internet. Existing …