Anomaly detection in network traffic using extreme learning machine

Intrusion detection systems are one of the most relevant security features against network attacks. Machine learning methods are used to analyze network traffic parameters for the presence of an attack signs. In this paper, extreme learning machine method is considered for intrusion detection in network traffic. The experimental results lead to the conclusion of practical significance of the proposed approach for attacks detection in network traffic.