Analysis of Anomalies in IBRL Data from a Wireless Sensor Network Deployment

Authors:
Sutharshan Rajasegarar;James C. Bezdek;Christopher Leckie;Marimuthu Palaniswami
Affiliations:
-;-;-;-
Venue:
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Year:
2007

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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.