The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

Abstract Cyber Threat Intelligence (CTI) sharing has become a novel weapon in the arsenal
of cyber defenders to proactively mitigate increasing cyber attacks. Automating the process …

With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

In recent years, a rapid shift from general and random attacks to more sophisticated and
advanced ones can be noticed. Unsolicited email or spam is one of the sources of many …

Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …

The growth of mobile phone users has lead to a dramatic increasing of SMS spam
messages. Recent reports clearly indicate that the volume of mobile phone spam is …

This article describes how spam detection in the social media text is becoming increasing
important because of the exponential increase in the spam volume over the network. It is …

We present a comprehensive review of the most effective content-based e-mail spam
filtering techniques. We focus primarily on Machine Learning-based spam filters and their …

E-mail spam has become an increasingly important problem with a big economic impact in
society. Fortunately, there are different approaches allowing to automatically detect and …

An excessive number of features may negatively affect the performance of a learning
classifier. In addition, the computational time for processing the data during the training …