A Novel Intrusion Detection System Using Neural-Fuzzy Classifier for Network Security

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Security
Format: PDF
An Intrusion Detection System (IDS) is intelligent engine which is used to identify anomalies (abnormality) in a computer network system. Intrusions are generally unauthorized access signatures which is like a attacks for network that attempts to either prevent normal functioning of nodes in a network or to harm the nodes with malicious scripts or to sniff unauthorized packets. Intrusion Detection System (IDS) reports alarms when it detects any attacks (abnormal) condition. IDS is working in dynamically changing environment. It works by detecting a signature from current session of packet transfer and matching it with database intrusion signatures.
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