Phishing attacks are one of the most challenging social engineering cyberattacks due to the
large amount of entities involved in online transactions and services. In these attacks …

The large branches of Machine Learning represent an immense support for the detection of
malicious websites, they can predict whether a URL is malicious or benign, leaving aside …

Phishing is the act of impersonating another party to attack a user, usually stealing
information or money. In darknets, where participants are usually anonymous, phishing is a …

As is evident in areas of privacy, security, and ethics, the hindrances to research is the lack
of validated real-world data. Therefore, people resort to creating their own dataset and/or …

Phishing is a popular cybercrime, particularly with the growth of technology, in which they
employ email and fake websites. To identify phishing websites, this paper employed three …

In evasion attacks, the success of machine learning (ML) depends on its ability to detect an
attack in an adversarial setting. It is important that these ML models are trained regularly to …

As is evident in areas of privacy, security, and ethics, the hindrances to research is the lack
of validated real-world data. Therefore, people resort to creating their own dataset and/or …

abstract Phishing is the act of impersonating another party to attack a user, usually stealing
information or money. In darknets, where participants are usually anonymous, phishing is a …