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 …

Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted
quickly by examining the features of an executable piece of code and matching it to …

In recent years, there has been increased interest in real-world event detection using
publicly accessible data made available through Internet technology such as Twitter …

Abstract Malicious Uniform Resource Locators (URLs) embedded in emails or Twitter posts
have been used as weapons for luring susceptible Internet users into executing malicious …

This paper tests disruption strategies in Twitter networks containing malicious URLs used in
drive-by download attacks. Cybercriminals use popular events that attract a large number of …

Phishing is a type of Internet fraud that aims to acquire the credential of users via scamming
websites. In this paper, a novel approach is utilized that uses a Neural Network with a …

The increasing volume of malicious content in social networks requires automated methods
to detect and eliminate such content. This paper describes a supervised machine learning …

Social networks have generated immense amounts of data that have been successfully
utilized for research and business purposes. The approachability and immediacy of social …

The popularity of Twitter for information discovery, coupled with the automatic shortening of
URLs to save space, given the 140 character limit, provides cybercriminals with an …

Malicious URLs are often used to distribute malware, steal personal information, or engage
in phishing attacks. Traditional approaches for identifying these URLs are often ineffective …