A Taxonomy of Sensor Network Anomalies and Their Detection Approaches
Giovani Rimon Abuaitah, Bin Wang · Advances in wireless technologies and telecommunication book series · 2015
Over the course of operation, sensor network deployments usually exhibit numerous types of anomalies that can result in missing, erroneous, malicious, or rather meaningful data points indicating an important event. Sensor data points can go missing due to network performance degradation as a result of a failing node, a network failure, or a malicious network behavior. Erroneous points are faulty measurements potentially generated by malfunctioning sensors. Malicious data points are usually injected into the network, replayed, or altered by an adversary. Finally, events manifest themselves as abnormal data points reported by sensor nodes expectedly. The significance of such anomalies calls for detection mechanisms that can identify an abnormal behavior in a sensor network deployment. In this chapter, the authors systematically analyze the different types of anomalies prevalent in a sensor network, construct a taxonomy of such anomalies, and discuss potential detection mechanisms necessary to reveal the root causes behind each anomaly.