Sensor data boundary estimation for anomaly detection in wireless sensor networks

@article{Suthaharan2010SensorDB,
  title={Sensor data boundary estimation for anomaly detection in wireless sensor networks},
  author={Shan Suthaharan and Christopher Leckie and Masud Moshtaghi and Shanika Karunasekera and Sutharshan Rajasegarar},
  journal={The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010)},
  year={2010},
  pages={546-551}
}
Fuzzy boundaries and unpredictable anomalies displayed in the raw sensor data make the process of defining a strong ellipsoid boundary for the raw data in the ellipsoid-based anomaly detection algorithms in wireless sensor networks a difficult problem. We have shown, using synthetic and real sensor data, that the random variable that represents the difference between any two randomly selected raw data points follows an identically independently distributed Gaussian distribution. We have used… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-8 of 8 extracted citations

Similar Papers

Loading similar papers…