Even with many successful phishing email detectors, phishing emails still cost businesses
and individuals millions of dollars per year. Most of these models seem to ignore features …

Phishing attacks are one of the most common and least defended security threats today. We
present an approach which uses natural language processing techniques to analyze text …

In this paper, we propose an approach, called PhishBox, to effectively collect phishing data
and generate models for phishing validation and detection. The proposed approach …

A phishing email is a legitimate-looking email which is designed to fool the recipient into
believing that it is a genuine email, and either reveals sensitive information or downloads …

Phishing continues to be a major security concern for organizations around the globe. Past
works proposed classifiers to detect phishing emails; however many of them are based on …

Phishing attacks are common online, which have resulted in financial losses through using
either malware or social engineering. Thus, phishing email detection with high accuracy has …

Phishing is increasingly severe in recent years, which seriously threatens the privacy and
property security of netizens. Phishing is essentially a counterfeiting of brands. In order to …

Imbalanced data classification has always been one of the most challenging problems in
data science especially in the cybersecurity field, where we observe an out-of-balance …

Detection of phishing emails is a topic that received a lot of attention both from academia
and industry due to the devastating effects of phishing enabled data breaches have on …

Phishing is a form of cybercrime where an attacker imitates a real person/institution by
promoting them as an official person or entity through e-mail or other communication …