Topology Change Localisation in WSNs

Robert Zakrzewski, Trevor Martin, George Oikonomou

Abstract: Wireless Sensor Networks are often distributed, diverse, and large making their monitoring and anomaly localisation hard. Anomaly may pertain to parts of topology unknown in the ground truth. It is advantageous to localise anomaly, ideally using data at the edge which helps to implement countermeasures such as threat containment and attacker localisation. In this manuscript a method allowing localisation of sensors with malicious topology change and ground truth acquisition is presented. A simulated wireless sensor network is used to acquire data at the edge and apply the method. We demonstrate detection of malicious topology change based on topology distance measure and localisation of sensors impacted by the change using the data available at the edge of WSN.