Staying ahead of phishers: a review of recent advances and emerging methodologies in phishing detection

S Kavya, D Sumathi - Artificial Intelligence Review, 2024 - Springer
The escalating threat of phishing attacks poses significant challenges to cybersecurity,
necessitating innovative approaches for detection and mitigation. This paper addresses this …

A State-of-the-art Review on Phishing Website Detection Techniques

W Li, S Manickam, YW Chong, W Leng… - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing attacks remain a significant cybersecurity threat, with phishing websites serving as
a primary tool for attackers to deceive users and steal sensitive information. The rapid …

A study on adversarial sample resistance and Defense Mechanism for Multimodal Learning-based phishing website detection

PT Duy, VQ Minh, BTH Dang, NDH Son… - IEEE …, 2024 - ieeexplore.ieee.org
Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity,
particularly in detecting phishing websites. Traditional methods struggle to address evolving …

Machine Learning-Enabled Attacks on Anti-Phishing Blacklists

W Li, SUA Laghari, S Manickam, YW Chong… - IEEE Access, 2024 - ieeexplore.ieee.org
The exponential rise of phishing attacks has become a critical threat to online security,
exploiting both system vulnerabilities and human psychology. Although anti-phishing …

Multi-modal Comparative Analysis on Execution of Phishing Detection using Artificial Intelligence

DJ Dsouza, AP Rodrigues, R Fernandes - IEEE Access, 2024 - ieeexplore.ieee.org
Phishing is the process of deceiving or stealing private or confidential information through
illicit means. This could lead to financial loss, loss of reputation, and identity theft. Hence …

Shark-Eyes: A multimodal fusion framework for multi-view-based phishing website detection

M Vo Quang, D Bui Tan Hai, N Tran Kim Ngoc… - Proceedings of the 12th …, 2023 - dl.acm.org
In the era of escalating cyber threats, phishing attacks continue to exploit vulnerabilities in
online security. This paper presents Shark-Eyes, a novel multimodal fusion framework …

Design of a Hybrid AI-based Phishing Website Detection using LSTM, CNN, and Random Forest based Ensemble Learning Analysis

S Kavya, D Sumathi - 2024 8th International Conference on …, 2024 - ieeexplore.ieee.org
Phishing attacks are always surfacing as key threats against internet users, necessitating
advanced detection methods. Blacklist-based systems and rule-based models of phishing …

[PDF][PDF] Exploration and Evaluation of Human-centric Cloaking Techniques in Phishing Websites

W LI, SULA LAGHARI, S MANICKAM, YWEY CHONG - 2025 - researchgate.net
Anti-phishing blacklists are a critical first line of defense for end-users against phishing
attacks, yet they remain vulnerable to sophisticated evasion techniques. Despite the well …

Cyber Threat Detection Using an Ensemble Model Approach for Phishing Website Identification

D Rofianto, E Safitri, K Amaliah, J Fitra… - … Innovation in Research …, 2024 - jurnal.unsil.ac.id
The development of digital technology has had a significant impact on various aspects of
life, including an increase in cybersecurity threats, especially phishing attacks. Phishing is a …

Exploring Multi-attribute Selection Strategies for Effective Phishing Detection with Machine Learning

P Arundhati - … Conference on Advanced Network Technologies and …, 2023 - Springer
Online shop**, e-commerce, and social networking have all significantly enhanced the
convenience of people's job, life, and pleasure in recent years due to the Internet's rapid …