Temporal Analysis of Routing Activity for Anomaly Detection in Ad hoc Networks

Abstract

Mobile ad hoc network (MANET) faces serious security threat due to lack of consideration of security in design and inherent weaknesses. Anomaly detection techniques as well as preventive measures are in urgent need to protect ad hoc network. We propose an innovative anomaly detection technique based on temporal analysis of routing activities. Our approach uses data mining techniques to discover the underlying patterns of routing behavior and detect anomaly by comparing routing activities with the patterns. We tested the approach with two common attacks targeted at routing protocols and the experiment results show it is effective to detect routing disruption