Anti-phishing: A comprehensive perspective

G Varshney, R Kumawat, V Varadharajan… - Expert Systems with …, 2024 - Elsevier
Phishing is a form of deception technique that attackers often use to acquire sensitive
information related to individuals and organizations fraudulently. Although Phishing attacks …

[HTML][HTML] The applicability of a hybrid framework for automated phishing detection

RJ van Geest, G Cascavilla, J Hulstijn, N Zannone - Computers & Security, 2024 - Elsevier
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

A Good Fishman Knows All the Angles: A Critical Evaluation of Google's Phishing Page Classifier

C Miao, J Feng, W You, W Shi, J Huang… - Proceedings of the 2023 …, 2023 - dl.acm.org
Phishing is one of the most popular cyberspace attacks. Phishing detection has been
integrated into mainstream browsers to provide online protection. The phishing detector of …

Adversarial autoencoder data synthesis for enhancing machine learning-based phishing detection algorithms

H Shirazi, SR Muramudalige, I Ray… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Supervised machine learning is often used to detect phishing websites. However, the
scarcity of phishing data for training purposes limits the classifier's performance. Further …

Metaheuristics with deep learning driven phishing detection for sustainable and secure environment

MA Alohali, N Alasmari, M Maashi, AM Nouri… - Sustainable Energy …, 2023 - Elsevier
Abstract Information technologies have intervened in every aspect of human life. This growth
of connectivity, however, has radically changed the phishing attack landscape. In a phishing …

Machine Learning-Based Phishing Detection Using URL Features: A Comprehensive Review

AUZ Asif, H Shirazi, I Ray - … Symposium on Stabilizing, Safety, and Security …, 2023 - Springer
Phishing is a social engineering attack in which an attacker sends a fraudulent message to a
user in the hope of obtaining sensitive confidential information. Machine learning appears to …

URL based phishing attack detection using BiLSTM-gated highway attention block convolutional neural network

M Nanda, S Goel - Multimedia Tools and Applications, 2024 - Springer
Phishing is an attack that attempts to replicate the official websites of businesses, including
government agencies, financial institutions, e-commerce platforms, and banks. These …

An integrated model based on deep learning classifiers and pre-trained transformer for phishing URL detection

NQ Do, A Selamat, H Fujita, O Krejcar - Future Generation Computer …, 2024 - Elsevier
The unique nature of website URLs has made phishing detection a challenging task. Unlike
natural language, URLs have an unstructured nature with non-linear and sophisticated …

Hybrid optimization enabled squeeze net for phishing attack detection

N Kamble, N Mishra - Computers & Security, 2024 - Elsevier
Nowadays, phishing attacks are considered as one of the most common cyber-attacks which
generally harm the security of various internet and communication systems. The phishing …

Piracema: a Phishing snapshot database for building dataset features

JC Gomes de Barros, CM Revoredo da Silva… - Scientific Reports, 2022 - nature.com
Phishing is an attack characterized by attempted fraud against users. The attacker develops
a malicious page that is a trusted environment, inducing its victims to submit sensitive data …