Anomaly Detection in Wireless Sensor Network Using Sensing Detection Model

Abstract: Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. Intrusion detection system in wireless sensor network is one of the growing research areas in recent years. Wireless sensor networks (WSN) consist of tiny devices. For this purpose, it is a fundamental issue to characterize the WSN parameters such as node density and sensing range in terms of a desirable detection probability. Many network parameters such as sensing range, transmission range, and node density have to be carefully considered at the network design stage, according to specific applications. In this project, we derive the expected intrusion distance and evaluate the detection probability in different application scenarios.

Keywords: IDS, WSN, Anomaly, Security, Threats, Sensor Network