[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) …

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 …

Feature selection using fuzzy neighborhood entropy-based uncertainty measures for fuzzy neighborhood multigranulation rough sets

L Sun, L Wang, W Ding, Y Qian… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For heterogeneous data sets containing numerical and symbolic feature values, feature
selection based on fuzzy neighborhood multigranulation rough sets (FNMRS) is a very …

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 …

Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model

N Ding, HX Ma, H Gao, YH Ma, GZ Tan - Computers & Electrical …, 2019 - Elsevier
Anomaly detection is a long-standing problem in system designation. High-quality anomaly
detection can benefit plenty of applications (eg system monitoring, disaster precaution and …

DTOF-ANN: an artificial neural network phishing detection model based on decision tree and optimal features

E Zhu, Y Ju, Z Chen, F Liu, X Fang - Applied Soft Computing, 2020 - Elsevier
Recently, phishing emerges as one of the biggest threats to human's daily networking
environments. Phishing attackers disguise illegal URLs as normal ones to steal user's …

Phishing website classification and detection using machine learning

J Kumar, A Santhanavijayan, B Janet… - 2020 international …, 2020 - ieeexplore.ieee.org
The phishing website has evolved as a major cybersecurity threat in recent times. The
phishing websites host spam, malware, ransomware, drive-by exploits, etc. A phishing …

Phishing detection based on machine learning and feature selection methods

M Almseidin, AMA Zuraiq, M Al-Kasassbeh, N Alnidami - 2019 - learntechlib.org
With increasing technology developments, the Internet has become everywhere and
accessible by everyone. There are a considerable number of web-pages with different …

Detecting Phishing Sites--An Overview

P Kalaharsha, BM Mehtre - arXiv preprint arXiv:2103.12739, 2021 - arxiv.org
Phishing is one of the most severe cyber-attacks where researchers are interested to find a
solution. In phishing, attackers lure end-users and steal their personal in-formation. To …

Phishing website detection: forest by penalizing attributes algorithm and its enhanced variations

YA Alsariera, AV Elijah, AO Balogun - Arabian Journal for Science and …, 2020 - Springer
The damaging effect of phishing is traumatizing as attackers or hackers execute theft of
sensitive information from users subtly for inappropriate or unauthorized usage. In the light …