A comprehensive survey of AI-enabled phishing attacks detection techniques
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 …
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) …
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …
Phishing website detection based on multidimensional features driven by deep learning
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 …
currently a critical threat facing the Internet, and losses due to phishing are growing steadily …
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 …
organization to obtain sensitive information from a victim. One example of such is trolling …
Intelligent cyber-phishing detection for online
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 …
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
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 …
with the increase in internet transactions, cybercrimes also increase rapidly. With the …
Sustaining accurate detection of phishing URLs using SDN and feature selection approaches
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 …
steal their confidential or personal information. This is a well-known form of cybercrime. With …
Phishing page detection via learning classifiers from page layout feature
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 …
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 …
portals and corporate sites involves seeking a large pool of professional applicants around …
HTTP header based phishing attack detection using machine learning
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 …
similarity, heuristic, URL features, and website content were used for anti‐phishing. Search …