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Sensor Technologies and Applications, International Conference on (2007)
Valencia, Spain
Oct. 14, 2007 to Oct. 20, 2007
ISBN: 0-7695-2988-7
pp: 158-163
ABSTRACT
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.
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CITATION
Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, "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
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