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Quarter sphere based distributed anomaly detection in wireless sensor networks

Version 2 2024-06-04, 06:14
Version 1 2016-11-29, 14:18
conference contribution
posted on 2024-06-04, 06:14 authored by Sutharshan RajasegararSutharshan Rajasegarar, C Leckie, M Palaniswami, JC Bezdek
Anomaly detection is an important challenge for tasks such as fault diagnosis and intrusion detection in energy constrained wireless sensor networks. A key problem is how to minimise the communication overhead in the network while performing in-network computation when detecting anomalies. Our approach to this problem is based on a formulation that uses distributed, one-class quarter-sphere support vector machines to identify anomalous measurements in the data. We demonstrate using sensor data from the Great Duck Island Project that our distributed approach is energy efficient in terms of communication overhead while achieving comparable accuracy to a centralised scheme. © 2007 IEEE.

History

Pagination

3864-3869

Location

Glasgow, UK

Start date

2007-06-24

End date

2007-06-28

ISSN

0536-1486

ISBN-10

1424403537

Publication classification

EN.1 Other conference paper

Title of proceedings

IEEE International Conference on Communications

Publisher

IEEE

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