Staying ahead of phishers: a review of recent advances and emerging methodologies in phishing detection
The escalating threat of phishing attacks poses significant challenges to cybersecurity,
necessitating innovative approaches for detection and mitigation. This paper addresses this …
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 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
Recent advancements in Artificial Intelligence (AI) have greatly impacted cybersecurity,
particularly in detecting phishing websites. Traditional methods struggle to address evolving …
particularly in detecting phishing websites. Traditional methods struggle to address evolving …
Machine Learning-Enabled Attacks on Anti-Phishing Blacklists
The exponential rise of phishing attacks has become a critical threat to online security,
exploiting both system vulnerabilities and human psychology. Although anti-phishing …
exploiting both system vulnerabilities and human psychology. Although anti-phishing …
Multi-modal Comparative Analysis on Execution of Phishing Detection using Artificial Intelligence
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 …
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 …
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
Phishing attacks are always surfacing as key threats against internet users, necessitating
advanced detection methods. Blacklist-based systems and rule-based models of phishing …
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 …
attacks, yet they remain vulnerable to sophisticated evasion techniques. Despite the well …
Cyber Threat Detection Using an Ensemble Model Approach for Phishing Website Identification
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 …
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 …
convenience of people's job, life, and pleasure in recent years due to the Internet's rapid …