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

This paper presents the neural network approaches for building of intrusion detection
system (IDS). Existing intrusion detection approaches have same limitations, namely low …

Network security is becoming an important issue in the field of information security. Hackers
and Intruders can make many successful attempts to break down into networks or computer …

Intrusion detection systems (IDSs) are currently drawing a great amount of interest as a key
part of system defence. IDSs collect network traffic information from some point on the …

The use of computers and the internet has spread rapidly over the course of the past few
decades. Every day, more and more people are coming to rely heavily on the internet. When …

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 …

Recent research indicates a lot of attempts to create an intrusion detection system that is
capable of learning and recognizing attacks it faces for the first time. Benchmark datasets …

The popularity of using Internet contains some risks of network attacks. Intrusion detection is
one major research problem in network security, whose aim is to identify unusual access or …

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 …

Data mining is the use of algorithms to extract the information and patterns derived by the
knowledge discovery in databases process. Classification is a very common data mining …