A hybrid intrusion detection system is used to provide increased detection capabilities. HNID integrates a neural network detection component with a basic pattern matching engine to detect anomalies in the network traffic. This approach efficiently detects known classes of attacks, and also the unknown ones. Both of the detection solutions run simultaneously so that one can provide a method to filter and group the security alerts to reduce the number of alerts which will be sent to the network administrator.