Phishing emails have been used widely in fraud of financial organizations and customers.
Phishing email detection has drawn a lot attention for many researchers and malicious …

Phishing scams pose a serious threat to end-users and commercial institutions alike. Email
continues to be the favorite vehicle to perpetrate such scams mainly due to its widespread …

Phishing attacks against financial institutions constitutes a major concern and forces them to
invest thousands of dollars annually in prevention, detection and takedown of these kinds of …

Phishing website-based attacks remain pervasive, with high user susceptibility continuing to
be a major factor. In this study we use cluster analysis coupled with an elaborate controlled …

Phishing is one of the most common threats that users face while browsing the web. In the
current threat landscape, a targeted phishing attack (ie, spear phishing) often constitutes the …

A deep learning-based approach to phishing detection is proposed. Specifically, websites'
URLs and the characters in these URLs are mapped to documents and words, respectively …

The problem of imbalanced classes arises frequently in binary classification tasks. If one
class outnumbers another, trained classifiers become heavily biased towards the majority …

Phishing attacks continue to plague users as attackers develop new ways to fool users into
submitting personal information to fraudulent sites. Many schemes claim to protect against …

An approach to identification of the phishing target of a given (suspicious) webpage is
proposed by clustering the webpage set consisting of its all associated webpages and the …

In this paper we investigate the problem of phishing. Phishing is a hybrid problem in that it
involves both technical and social issues. In this paper, we also discuss the polymorphic …