Sensor Technologies and Applications, International Conference on (2007)
Oct. 14, 2007 to Oct. 20, 2007
Detecting interesting events and anomalous behaviors in wireless sensor networks is an important challenge for tasks such as monitoring applications, fault diagnosis and intru- sion detection. A key problem is to define and detect those anomalies with few false alarms while preserving the lim- ited energy in the sensor network. In this paper, using con- cepts from statistics, we perform an analysis of a subset of the data gathered from a real sensor network deployment at the Intel Berkeley Research Laboratory (IBRL) in the USA, and provide a formal definition for anomalies in the IBRL data. By providing a formal definition for anomalies in this publicly available data set, we aim to provide a benchmark for evaluating anomaly detection techniques. We also dis- cuss some open problems in detecting anomalies in energy constrained wireless sensor networks.
Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami, "Analysis of Anomalies in IBRL Data from a Wireless Sensor Network Deployment", Sensor Technologies and Applications, International Conference on, vol. 00, no. , pp. 158-163, 2007, doi:10.1109/SENSORCOMM.2007.27