Phishing attacks have become today one of the most common security breaches performed
on different communication channels. Their goal is to direct users to malicious websites or to …

Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …

In this paper, we explore the use of a text semantic analysis to improve the accuracy of spam
detection. We propose a method based on two semantic level analysis. In the first level, we …

In this paper, we propose a method of detecting and classifying web application attacks. In
contrast to current signature-based security methods, our solution is an ontology based …

Communication through e-mails remains to be highly formalized, conventional and
indispensable method for the exchange of information over the Internet. An ever-increasing …

An active learning method is put forward to filter Chinese spam. In terms of training the
filtering model, labeling all of the emails seems to be costly and time-consuming, while …

Spam has become an important problem for computer security because it is a channel for
spreading threats, including computer viruses, worms and phishing. Currently, more than …

Objective In the context of rare diseases, it may be helpful to detect patients with similar
medical histories, diagnoses and outcomes from a large number of cases with automated …

User-contributed comments are increasing exponentially on the Social Web, they are found
widely in the social media sites (internet discussion fora or news providers). This paper …

Twitter has become one of the most used social networks. And, as happens with every
popular media, it is prone to misuse. In this context, spam in Twitter has emerged in the last …