[HTML][HTML] A comprehensive survey of AI-enabled phishing attacks detection techniques

A Basit, M Zafar, X Liu, AR Javed, Z Jalil… - Telecommunication …, 2021 - Springer
In recent times, a phishing attack has become one of the most prominent attacks faced by
internet users, governments, and service-providing organizations. In a phishing attack, the …

[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) …

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 …

[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 …

Intelligent cyber-phishing detection for online

PA Barraclough, G Fehringer, J Woodward - computers & security, 2021 - Elsevier
Phishing attacks are on the increase, resulting in financial loss and theft of sensitive
information to online services and users. Anti-phishing approaches have concentrated on …

Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions

M Vijayalakshmi, S Mercy Shalinie, MH Yang… - Iet …, 2020 - Wiley Online Library
Internet dragged more than half of the world's population into the cyber world. Unfortunately,
with the increase in internet transactions, cybercrimes also increase rapidly. With the …

Sustaining accurate detection of phishing URLs using SDN and feature selection approaches

R Wazirali, R Ahmad, AAK Abu-Ein - Computer Networks, 2021 - Elsevier
Phishing is an online fraud that deceives visitors by impersonating a legitimate website to
steal their confidential or personal information. This is a well-known form of cybercrime. With …

[HTML][HTML] Phishing page detection via learning classifiers from page layout feature

J Mao, J Bian, W Tian, S Zhu, T Wei, A Li… - EURASIP Journal on …, 2019 - Springer
The web technology has become the cornerstone of a wide range of platforms, such as
mobile services and smart Internet-of-things (IoT) systems. In such platforms, users' data are …

Smart fraud detection framework for job recruitments

A Mehboob, MSI Malik - Arabian Journal for Science and Engineering, 2021 - Springer
Online recruitment has altered the hiring trend. Specifically, posting job ads on career
portals and corporate sites involves seeking a large pool of professional applicants around …

HTTP header based phishing attack detection using machine learning

S Shukla, M Misra, G Varshney - Transactions on Emerging …, 2024 - Wiley Online Library
In the past, many techniques like blacklisting/whitelisting, third‐party, search engine, visual
similarity, heuristic, URL features, and website content were used for anti‐phishing. Search …