Detecting anomalies in Wireless Sensor Networks
University of York, (August 2010)Abstract
Wireless Sensor Networks (WSNs) have emerged as one of the most important research areas, with huge impact on technology enhancement. Large numbers of limited resource sensor nodes are used to monitor the physical environment and report any signi cant information. Nodes operate autonomously to collaborate and manage the wireless networks, through which critical raw data are transmitted to the end users. WSNs have been
used in critical application scenarios, such as remote patient health monitoring system and re detection system, where the dependability of WSNs becomes very important. Users can become dependent on the application that any failures in the application network can lead to fatality or injury. WSNs can be susceptible to anomalies due to cheap unreliable hardware and software, and unfavourable operating environment that can affect the network communication. These anomalies must be detected as they can cause
failure in the network. Many di erent anomaly detection systems (ADS) have been proposed in the literature over the years. This dissertation examines some of the literature published to date with regard to ADS in WSNs. An immuno-engineering approach has been investigated as a solution for ADS in WSNs. A research proposal is presented on the future research activities and directions.