Social media bots (automated accounts) attacks are organized crimes that pose potential
threats to public opinion, democracy, public health, stock market and other disciplines. While …

Over the last few years, online social networks (OSNs), such as Facebook, Twitter and
Tuenti, have experienced exponential growth in both profile registrations and social …

Learning-based classifiers are increasingly used for detection of various forms of malicious
data. However, if they are deployed online, an attacker may attempt to evade them by …

To date, as one of the most popular online social networks (OSNs), Twitter is paying its dues
as more and more spammers set their sights on this microblogging site. Twitter spammers …

In many Twitter applications, developers collect only a limited sample of tweets and a local
portion of the Twitter network. Given such Twitter applications with limited data, how can we …

Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …

In this paper, we perform an empirical analysis of the cyber criminal ecosystem on Twitter.
Essentially, through analyzing inner social relationships in the criminal account community …

As social networking sites have risen in popularity, cyber-criminals started to exploit these
sites to spread malware and to carry out scams. Previous work has extensively studied the …

Compromising social network accounts has become a profitable course of action for
cybercriminals. By hijacking control of a popular media or business account, attackers can …

Online social networks (OSNs) are extremely popular among Internet users. Unfortunately,
in the wrong hands, they are also effective tools for executing spam campaigns. In this …