Spam is information crafted to be delivered to a large number of recipients, in spite of their
wishes. A spam filter is an automated tool to recognize spam so as to prevent its delivery …

Intrusion detection systems are important for detecting and reacting to the presence of
unauthorised users of a network or system. They observe the actions of the system and its …

The proliferation of fake news and its propagation on social media has become a major
concern due to its ability to create devastating impacts. Different machine learning …

Abstract According to the Forrester Wave report [Raschke, 2008], most early DLP solutions
focused on finding sensitive data as they left the organizational network by monitoring data …

Spam filtering poses a special problem in text categorization, of which the defining
characteristic is that filters face an active adversary, which constantly attempts to evade …

Due to easy access, rapid growth, and proliferation of the information available through
regular news mediums or social media, it is becoming easy for people to look for news and …

In this paper we analyse the strengths and weaknesses of the mainly used feature selection
methods in text categorization when they are applied to the spam problem domain. Several …

This paper introduces a novel algorithm, UDmap, to identify dynamically assigned IP
addresses and analyze their dynamics pattern. UDmap is fully automatic, and relies only on …

High dimensionality, also known as the curse of dimensionality, is still a major challenge for
automatic classification solutions. Accordingly, several feature selection (FS) strategies have …

The increasing number of unsolicited e-mail messages (spam) reveals the need for the
development of reliable anti-spam filters. The vast majority of content-based techniques rely …