Intelligent network intrusion detection system seminar report/pdf/ppt download
Abstract : Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and
unauthorized remote use of computers.
More accurately, depending on the kind of attack it targets, an NIDS can be oriented to detect misuses (by defining all possible attacks) or anomalies (by modeling legitimate behavior and detecting those that do not fit on that model).
Still, since their problem knowledge is restricted to possible attacks, misuse detection fails to notice anomalies and vice versa.
Against this, we present here Intelligent Network Intrusion Detection System (INIDS), the misuse and anomaly detection system based on Naive Bayes.
Classifier, trained with a KDDCupí99 dataset traffic, to analyze completely network packets, and the strategy to create a consistent knowledge model that integrates misuse and anomaly-based knowledge.
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