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یک روش جدید برا شناخت مهاجم در شبکه با استفاده از ANFIS
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 ...
A new approach to intrusion detection based on an evolutionary soft computing model using Neuro-Fuzzy Classifiers
An intrusion detection system’s main goal is to classify activities of a system into two major categories: normal and suspicious (intrusive) activities. Intrusion detection systems usually specify the type of attack or ...
A Neuro-Fuzzy Classifier for Intrusion Detection Systems
A Neuro-Fuzzy Classifier for Intrusion Detection Systems
Network intrusion detection based on neuro-fuzzy classification
With rapid growth of computer networks during the past few years, network security has become a crucial issue. Among the various network security measures, intrusion detection systems (IDS) play a vital role to integrity, ...