An Intrusion Detection System (IDS) is a software that monitors a single or a network of
computers for malicious activities (attacks) that are aimed at stealing or censoring …

The growing prevalence of network attacks is a well-known problem which can impact the
availability, confidentiality, and integrity of critical information for both individuals and …

The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …

Abstract Attacks on Computer Networks are one of the major threats on using Internet these
days. Intrusion Detection Systems (IDS) are one of the security tools available to detect …

Intrusions in computer networks have increased significantly in the last decade, due in part
to a profitable underground cyber-crime economy and the availability of sophisticated tools …

This important book introduces the concept of intrusion detection, discusses various
approaches for intrusion detection systems (IDS), and presents the architecture and …

Intrusion Detection System (IDS) is an essential method to protect network security from
incoming on-line threats. Machine learning enable automates the classification of network …

Network security technology has become crucial in protecting government and industry
computing infrastructure. Modern intrusion detection applications face complex …

Machine Learning (ML) is a modern and highly sophisticated technological application
became a huge trend in the industry. Machine Learning is omnipresent and is widely used in …

In this paper, a new learning algorithm for adaptive network intrusion detection using naive
Bayesian classifier and decision tree is presented, which performs balance detections and …