An analysis of a host behavior is an essential key for modern network management and security. A robust profile enables the managers to detect anomalies with high accuracy, predict behavior, or group clusters better management. Hence, profiling methods attract interest many researchers, novel are being introduced. However, these frequently developed on preprocessed small datasets. Therefore, th...

Abstract The goal of anomaly-based intrusion detection is to build a system which monitors computer network behaviour and generates alerts if either known attack or an anomaly detected. Anomaly-based detects intrusions based on reference model identifies normal the flags anomaly. Basic challenges in are difficulties identify ‘normal’ complexity dataset needed train system. Supervised machine le...