[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) …
A review of human-and computer-facing url phishing features
K Althobaiti, G Rummani… - 2019 IEEE European …, 2019 - ieeexplore.ieee.org
When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …
website (features) to aid in their decision making. In this work, we conduct a review of URL …
CNN–MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites
X **ao, D Zhang, G Hu, Y Jiang, S **a - Neural Networks, 2020 - Elsevier
Increasing phishing sites today have posed great threats due to their terribly imperceptible
hazard. They expect users to mistake them as legitimate ones so as to steal user information …
hazard. They expect users to mistake them as legitimate ones so as to steal user information …
Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets
Phishing websites belong to a social engineering attack where perpetrators fake legitimate
websites to lure people to access so as to illegally acquire user's identity, password, privacy …
websites to lure people to access so as to illegally acquire user's identity, password, privacy …
A high-accuracy phishing website detection method based on machine learning
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 …
attack detection one of the most critical technologies in all cyber security systems. To …
Detecting phishing websites using machine learning technique
AK Dutta - PloS one, 2021 - journals.plos.org
In recent years, advancements in Internet and cloud technologies have led to a significant
increase in electronic trading in which consumers make online purchases and transactions …
increase in electronic trading in which consumers make online purchases and transactions …
[HTML][HTML] Phishing websites detection using a novel multipurpose dataset and web technologies features
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 …
large amount of entities involved in online transactions and services. In these attacks …
Comparative evaluation of machine learning algorithms for phishing site detection
The advent of Internet technologies has resulted in the proliferation of electronic trading and
the use of the Internet for electronic transactions, leading to a rise in unauthorized access to …
the use of the Internet for electronic transactions, leading to a rise in unauthorized access to …
A case-based reasoning system for recommendation of data cleaning algorithms in classification and regression tasks
Abstract Recently, advances in Information Technologies (social networks, mobile
applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …
applications, Internet of Things, etc.) generate a deluge of digital data; but to convert these …
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 …