A hybrid framework of intrusion detection system for resource consumption based attacks in wireless ad-hoc networks

Abstract

The rapid proliferation of wireless adhoc networks and mobile computing applications has changed the landscape of network security. In this paper, we use hybrid approach that have both misuse and anomaly intrusion detection system using cross feature analysis for obtaining the trained data and test data from the trace file and to model the intrusion detection pattern. Apart from detection based on trace data, we proposed an innovative technique which operates through the implementation of battery consumption based detection on wireless ad-hoc networks by correlating attacks with their impact on device power consumption on the fly. The proposed system monitors power behavior to detect potential intrusions by noting irregularities of power consumption. This proposed and implemented work of the IDS using Network Simulator (NS-2) has achieved high detection rate and low false positive rate.