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) …

In recent years, machine learning algorithms, and more specifically deep learning
algorithms, have been widely used in many fields, including cyber security. However …

Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …

Recent years have seen the development of phishing detection and identification
approaches to defend against phishing attacks. Phishing detection solutions often report …

With the advent of Internet and opportunities in e-commerce, a visual perception oriented
cyber-attack so-called phishing has become one of the tremendous problems of the cyber …

Hackers are increasingly launching phishing attacks via SMS and social media. Games and
dating apps introduce yet another attack vector. However, current deep learning-based …

In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …

Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks
that break every ML model, or defenses that withstand most attacks. Unfortunately, little …

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 …

Many cyberattacks start with disseminating phishing URLs. When clicking these phishing
URLs, the victim's private information is leaked to the attacker. There have been proposed …