Rapid growth in the Internet usage and diverse military applications have led researchers to
think of intelligent systems that can assist the users and applications in getting the services …

The objective of this paper is to construct a lightweight Intrusion Detection System (IDS)
aimed at detecting anomalies in networks. The crucial part of building lightweight IDS …

Fraud detection has been an important topic of research in the data mining community for
the past two decades. Supervised, semi-supervised, and unsupervised approaches to fraud …

As the popularity and usage of Internet increases all over the world, security issues have
also become very essential that have to be considered. In literature, different techniques …

Abstract Intrusion Detection Systems (IDS) are a very popular network security tool. These
tools can allow network administrators, to identify and react to hostile traffic aimed at, or …

We present a system architecture for evolving classifier ensembles of oblique decision trees
for continuous or online learning applications. In continuous learning, the classification …