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10.1109/CyberC.2013.66guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Sketch Based Anomaly Detection Scheme in Wireless Sensor Networks

Published: 10 October 2013 Publication History

Abstract

The constrained capacity of wireless sensor nodes and harsh, unattended deploy environments make the data collected by sensor nodes usually unreliable. In this paper, we propose a sketch based anomaly detection scheme in order to detect the anomaly data values. It first partitions the whole sensor network into several clusters in which the cluster members are physically adjacent and data correlated. Then, the cluster header collects the count-min sketch of each cluster member and compares it with its own sketch in the form of kullback-leibler divergence. The experiment shows that the proposed anomaly detection scheme can provide a high detection accuracy ratio and a low false alarm ratio.

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cover image Guide Proceedings
CYBERC '13: Proceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
October 2013
531 pages
ISBN:9780769551067

Publisher

IEEE Computer Society

United States

Publication History

Published: 10 October 2013

Author Tags

  1. anomaly detection
  2. security
  3. sketch
  4. wireless sensor network

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