A Neuro-Fuzzy Classifier for Intrusion Detection Systems...

In this paper we discussed about utilizing methods and techniques of semantic web in the Intrusion Detection Systems. To extract semantic relations between computer attacks and intrusions in a Distributed Intrusion Detection System, we use ontology...

In order to understand the security level of an organization network, detection methods are important to tackle the probable risks of the attackers malicious activities. Intrusion Detection Systems (IDSs), as detection solutions of the defense...

Apart from using traditional security solutions in software systems such as firewalls and access control
mechanisms, utilizing intrusion detection systems are also necessary. Intrusion detection is a process in
which a set of methods are used...

The main purpose of this paper is to incorporate several soft computing techniques into the classifying system to detect and classify intrusions from normal behaviors based on the attack type in a computer network. Several ...