Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …

When detecting phishing websites, both humans and computers rely on aspects of the
website (features) to aid in their decision making. In this work, we conduct a review of URL …

Phishing attacks are becoming increasingly prevalent: 2016 saw more phishing attacks than
any previous year on record according to the Anti-Phishing Working Group. At the same …

Phishing attacks are one of the trending cyber attacks that apply socially engineered
messages that are communicated to people from professional hackers aiming at fooling …

To effectively boost computer usage, machine learning models are used in several phishing
detection systems to classify enormous phishing datasets. Based on phishing patterns …

Phishing attacks are still a general and world-wide threat to users of the Internet. In the past,
several approaches to detect phishing websites earlier and shorten the time frame between …

This paper reports a formative evaluation of auditory representations of cyber security threat
indicators and cues, referred to as sonifications, to warn users about cyber threats. Most …

Phishing email detection is a significant threat in today's world. The rate at which phishing
are generated are tremendously increasing day by day. It is high time to deploy a self …

En los últimos años se han utilizado diversos mecanismos para detectar ataques de
phishing. El papel desempeñado por las técnicas de aprendizaje automático ha sido …

Anti-phishing detection solutions employed in industry use blacklist-based approaches to
achieve low false-positive rates, but blacklist approaches utilizes website URLs only. This …