Background—Nowadays, with the rise of Internet access and mobile devices around the
globe, more people are using social networks for collaboration and receiving real-time …

Bots, software-controlled accounts that operate on social media, have been used to
manipulate and deceive. We studied the characteristics and activity of bots around major …

This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which
are increasingly used for online transactions worldwide. Little research has been conducted …

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 …

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 study, we examine the abuse of online social networks at the hands of spammers
through the lens of the tools, techniques, and support infrastructure they rely upon. To …

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 …

Twitter spam has become a critical problem nowadays. Recent works focus on applying
machine learning techniques for Twitter spam detection, which make use of the statistical …

Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have developed a series of machine learning-based methods and blacklisting …

Abstract Machine learning is one of the driving forces of science and commerce, but the
proliferation of Big Data demands paradigm shifts from traditional methods in the application …