Quarter sphere based distributed anomaly detection in wireless sensor networks
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conference contribution
posted on 2024-06-04, 06:14 authored by Sutharshan RajasegararSutharshan Rajasegarar, C Leckie, M Palaniswami, JC BezdekAnomaly 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.
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3864-3869Location
Glasgow, UKPublisher DOI
Start date
2007-06-24End date
2007-06-28ISSN
0536-1486ISBN-10
1424403537Publication classification
EN.1 Other conference paperTitle of proceedings
IEEE International Conference on CommunicationsPublisher
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